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Computer Forensics - Network Forensics - Digital Forensics
Tutorials, Guides, Articles, How to, FAQs & Reviews

  • Also be sure to check out our comprehensive Intrusion Detection Section - Click Here

    Ms Christine Siedsma of e-evidence is a copyright violator and a hypocrite

    After waiting almost three years for Christine Siedsma to do 'the right thing' - we are now taking this opportunity to share with everyone interested in computer forensics the type of copyright violating ass clowns that we have encountered.  If you think this is harsh... well she has called us a thief on her web site during that three year period.  It is time that she is exposed.  And if she does not grow up and remove our pages and her libelous accusations off her site this page will remain in perpetuity

    Todays lesson in Computer Forensics is how to deal with a copyright violator - in particular - Ms Christine Siedsma of e-Evidence . info 

    Back in December 2006 Ms Christine Siedsma started making wild-eyed claims that she was the only person on the Internet to have the right to catalog a listing of all 'hyperlinks' related to computer forensics. Funny huh ?  Weird eh ?  Look out Google, MSN, Yahoo, Bing, etc...

    In support of her high ground position in a ludicrous argument, she went and posted complete copies of our web pages on her web site.  Oddly enough, as of June 2009 she is still posting our entire web pages on her web site - two and one half year later... and saying we are thieves... we stole her 'hyperlinks'

    Well... it is not so odd... she is simply using our content by using her 'hyperlink' battle as her justification to commit a copyright violation.  She even uses a buffered copy of a Google cache in an attempt to show that she didn't STEAL our content directly from our web site. And for 2 1/2 years she has libelously referred to us as thieves.  Hmm... pot calling the kettle black eh ?

    We have ignored her childish and unprofessional theft of our work over the last two and one half years, in the hope that some semblance of professionalism or sanity would shine through and she would remove her theft of our work off her web site.  Sadly... she has lived up to everything that we thought of her. 

    And so as a gift to Christine Siedsma, as of June 22nd 2009 we posted up this little article to share with the world the true story of Christine Siedsma's claims to owners of all hyperlinks related to computer forensics.  I think our silence and patience waiting for Ms Siedsma to grow up has showed who held the high ground and acted professionally... and who did not.

    If you wish to read this totally ludicrouss exchange of e-mails between Ms Siedsra and ourself, proceed here :

    http://www.securitynewsportal.com/christine.htm  - Ms Christine Siedsma is a thief and a hypocrite.

    If you wish to simply move on and start checking out our thousands of links to articles on computer forensics then simply continue reading below...



    Definition of: computer forensics (from PCMag.com )

    The investigation of a computer system believed to be involved in cybercrime. Forensic software provides a variety of tools finvestigating a suspect PC. Such programs may include a function that copies the entire hard drive to another system finspection, allowing the original to remain unaltered.

    Another utility compares file extensions to the data content in order to determine if files have been camouflaged with phony file extensions. Fexample, an image file might be renamed as a text document and vice versa.

    Network Forensics

    In order to identify attacks, "network forensics" deals with the capture and inspection of packets passing through a selected node in the network. Packets can be inspected on the fly stored on disk flater analysis. See
  • forensically clean,
  • slack space,
  • write blocker,
  • file wipe,
  • IDS and
  • security event management software.

    NIST Phases

    The National Institute of Standards and Technology "Guide to Integrating Forensic Techniques into Incident Responses" covers four phases, which are briefly summarized below. Fthe complete 121-page NIST publication, download draft SP 800-86 at http://csrc.nist.gov/publications/nistpubs.

    1 - Collection: Identify, label, record and acquire data from possible sources, while preserving the integrity of the data.

    2 - Examination: Use manual and automated methods to assess and extract data of particular interest, while preserving the integrity of the data.

    3 - Analysis: Use legally justifiable methods and techniques to derive useful information.

    4 - Reporting: Describe actions used, explain how tools and procedures were selected, determine what other actions need to be performed, including forensic examination of additional data sources, securing identified vulnerabilities and improving existing security controls. Recommend improvements to policies, guidelines, procedures, tools and other aspects of the forensic process.



    COMPUTER FORENSIC ARTICLES, PAPERS and PRESENTATIONS
    - The Big List.



  • First Responders Guide to Computer Forensics - (PDF)
    First Responders. Guide to Computer. Forensics. Richard Nolan. Colin O’Sullivan. Jake Branson. Cal Waits. March 2005. CERT Training and Education. HANDBOOK
    www.cert.org/archive/pdf/FRGCF_v1.3.pdf

  • First Responders Guide to Computer Forensics: Advanced Topics - (PDF)
    Computer Forensics 101. Essential Knowledge for. 21st Century Investigators. with Case Studies. Presented by Steve Abrams, M.S.. Abrams Computer Forensics
    www.steveabrams.net/ComputerForensics101.ppt
  • Computer Forensics fthe Private Investigat(PPT)-
    1. Basic Computer Forensics fthe Private Investigator. Presented by. Steven M. Abrams, M.S., P.I., IEEE. Computer Forensics Examiner
    www.steveabrams.net/scalifinal.ppt

  • Computer Forensics in the Campus Environment (PPT)-
    8/23/06 | Slide 1. Scott L. Ksander. Computer Forensics in the Campus Environment Scott L. Ksander ksander@purdue.edu. 8/23/06 | Slide 2. Scott L. Ksander
    www.purdue.edu/securepurdue/docs/ComputerForensics.ppt

  • Computer Forensics in the Campus Environment (PPT)-
    October 25 | Slide 1. Scott L. Ksander. Computer Forensics in the Campus Environment Scott L. Ksander Purdue University Assistant Professor, Department of
    ccsp.cites.uiuc.edu/2005Fall/Slides/CCSP_final.ppt

  • Computer Forensics (PPT)-
    Computer Forensics. Bassel Kateeb Tim Altimus. Introduction. Topics to be covered. Defining Computer Forensics; Reasons fgathering evidence
    www.sis.pitt.edu/~jjoshi/TELCOM2813/Spring2005/FinaleKateebAltimus.ppt

  • Introduction to Computer Forensics (PPT)-
    Computer Forensics and Encase. UCCSC Conference. La Jolla, California. July 2006. Doreen Meyer, Data Center and Client Services, IET
    uccsc.ucsd.edu/encase.ppt

  • Computer Forensics (PPT)-
    Guide to Computer Forensics and Investigations, Second Edition. Chapter 4. Current Computer Forensics Tools. Adapted from Course InstructMaterials
    www.cs.jhu.edu/~coulls/Chapter4.ppt

  • Computer Forensics (PPT)-
    Guide to Computer Forensics and Investigations, Second Edition. Chapter 12. Network Forensics. Guide to Computer Forensics and Investigations, 2e
    www.cs.jhu.edu/~coulls/Chapter12.ppt

  • Computer Forensics (PPT)-
    Computer Forensics. The Legal Side of Incident Response. Ioanna Kantzavelou. Technological Educational InstitutionTEI of Athens
    tempus.elfak.ni.ac.yu/Events/Athens_02.2004/IKantzavelou.Tempus.Athens.2004.ppt

  • Teaching Computer Forensics (PPT)-
    Teaching Computer Forensics Using Student Developed Evidence Files. Anna Carlin. Cal Poly Pomona. Agenda. What is Computer Forensics; Trends in Computer
    www.secureitconf.com/presentations/69_SecureIT.ppt

  • Computer Forensics as a Part of a Security Incident Response Program (PPT)-
    Computer Forensics as a Part of a Security Incident Response Program. Roy G. Clay III. Compliance Officer. LSU Health Sciences Center. New Orleans
    www.ehcca.com/presentations/HIPAA13/2_02.ppt

  • Pedagogic Innovation in Teaching Computer Forensics (PPT) -
    Pedagogic Innovation in Teaching Computer Forensics. Alastair Irons. Christopher Laing. Philip Anderson. Northumbria University
    www.ics.heacademy.ac.uk/Events/HEADublin2006_V2/presentations/Day%201/Day%201%20Alastair%20Irons%201B.ppt

  • Computer Forensics Workshop (PPT)-
    Computer Forensics Workshop. Consideration of Computer Ethics in Computer Forensics. Alastair Irons. Northumbria University. Objectives of Session
    www.ics.heacademy.ac.uk/events/presentations/71_Computer%20Forensics%20Workshop%20-%20Ethics.ppt

  • Computer Forensics (PPT)-
    Guide to Computer Forensics and Investigations, Second Edition. Chapter 2. Understanding Computer Investigation. Guide to Computer Forensics and
    euclid.barry.edu/~zuniga/courses/cs300/ch02.ppt

  • Computer Forensics (PPT)-
    12/22/06. PHIT 2005. 1. Computer Forensics & Electronic Evidence. Reconstructing what happened. PHIT 2005. Linda Volonino, Ph.D., CISSP
    138.92.8.227/PHIT2005-Volonino-ComputerForensics.ppt

  • Computer Forensics and Electronic Evidence (PPT)-
    1. Electronic Evidence & Computer Forensics. Linda Volonino, Ph.D. Professand Chair, Dept of IS. Canisius College. Feb. 17, 2004
    138.92.8.227/isaca.ppt

  • Network Enabled Computer Forensics (PPT)-
    Incident Response and Computer. Forensics. Wednesday, October 1, 2003. The Leader in Computer Forensics and Incident Response Solutions
    www.sv-issa.org/guidance.ppt

  • Computer Forensics n the Classroom (PPT)-
    Computer Forensics in the Classroom. Chris Eagle. Naval Postgraduate School. cseagle@nps.edu. The Challenge. A one quarter course in computer forensics
    cisr.nps.navy.mil/downloads/wecs7_eagle.ppt

  • Basics of Computer Forensics (PPT)-
    © 1999-2003 Winn Schwartau & Interpact, Inc. After the Hack. Basics of Computer Forensics. Winn Schwartau. Interpact, Inc. 727.393.6600 / 727.393.6361
    www.iceconference.com//Solutions_Technologies/Wed_Solutions_and_Technologies_After_The_Hack_Forensics.ppt

  • Introduction to Computer Forensics (PPT) -
    Introduction to Computer Forensics. Lecture 4Search & Seizures “Electronic Data Recovery/Bag & Tag”. Outline. Definitions; Rules of Evidence
    gaia.ecs.csus.edu/~ghansahi/classes/notes/296p/notes/lec4Search%20and%20Seizure.ppt

  • Computer Forensics: Basics (PPT)-
    Computer Forensics: Basics. Lecture 1. The Context of Computer Forensics. 2. Agenda. Class overview; Criminalistics; Digital Forensic Sciences
    gaia.ecs.csus.edu/~ghansahi/classes/notes/296p/notes/lec1Digital%20Forensics%20Intro.ppt

  • Introduction to Computer Forensics (PPT)-
    12/15/06. Acc661, Spring 2006. 1. Introduction to Computer Forensics. Jagdish S. Gangolly. Department of Accounting & Law , School of Business
    www.albany.edu/~gangolly/digitalforensics661.ppt

  • ISA 3350: Computer Forensics (PPT)-
    The Technology of CSI and Computer Forensics. Dr. Mike Whitman. IntroViva Las Vegas! The Technology of CSI. It is Hollywood after all!
    science.kennesaw.edu/~mmyers/1101fa03/CSI.ppt

  • ISA 3350: Computer Forensics (PPT)-
    The Technology of CSI and Computer Forensics. Dr. Mike Whitman. Web Images…Fuzzy Wuzzy. GA ID. What is Forensics? The coherent application of methodical
    science.kennesaw.edu/~mmyers/1101fa05/CSI.ppt

  • Computer Forensics (PPT)-
    95-752:15-1. Computer Forensics. 95-752:15-2. Computer Forensics. Lots more material than one lecture. Physical Forensics; Digital Forensics
    www.andrew.cmu.edu/course/95-752/notes/Forensics.ppt

  • Security and Privacy in Computer Forensics Applications (PPT)-
    1. Security and Privacy in Computer Forensics Applications. S. Srinivasan. Professof CIS. Director, Center fInformation Assurance
    www.utm.edu/staff/jclark/midsouth/Srini.ppt

  • Emerging Problems in Computer Forensics (PPT)-
    (c)Peter Sommer 2002. DIGITAL EVIDENCE. Emerging Problems in Forensic Computing. Peter Sommer. p.m.sommer@lse.ac.uk. (c)Peter Sommer 2002
    www.cl.cam.ac.uk/research/security/seminars/2002/2002-05-21.ppt

  • Computer Forensics (PPT) -
    Computer Forensics. By Rob Ferrill. Forensic and Investigative EssentialsSANS ©2004. Forensics in a Nutshell. Evidence Seizure; Investigation and
    www.birmingham-infragard.org/meetings/talks/presentations/Computer%20Forensics.ppt

  • Time and Computer Forensics (PPT)-
    9/10/06. 1. Time and Computer Forensics. 8 August 2002. Mike Duren, Olivier de Vel, Jason Burke, John Faust, Shiu-Kai Chin. 9/10/06
    www.csa.syr.edu/Time%20and%20Computer%20Forensics.ppt

  • Improving Quality and Productivity in Computer Forensics (PPT)-
    Department of Computer Science & Engineering Center fComputer Security Research. Improving Computer Forensics Media Analysis with Modeling Languages
    www.cse.msstate.edu/~security/nsf_cip/media_analysis.ppt

  • Third Generation Computer and Network Forensics and Demonstration (PPT)-
    The Leader in Computer Forensics and Incident Response Solutions. © 2004 Guidance Software, Inc. All Rights Reserved. Computer Forensics
    www.cs.bham.ac.uk/internal/courses/comm-prog/slides/may.ppt

  • Time and Computer Forensics (PPT) -
    10/1/06. 1. Time and Computer Forensics. 8 August 2002. Mike Duren, Olivier de Vel, Jason Burke, John Faust, Shiu-Kai Chin. 10/1/06
    sai.syr.edu/archive/Time%20and%20Computer%20Forensics.ppt

  • Computer Forensics (PPT) -
    Proprietary & Confidential 07/01/2002 Page 1. S3 Partners. Computer Forensics. Dave Cowen, CISSP. S3 Partners. Proprietary & Confidential 07/01/2002 Page 2
    www.utsa.edu/cias/Presentations/Cowen-Forensics.ppt

  • CS 447/557 Computer Forensics (PPT) -
    1. CS 447/557 Computer Forensics. Lecture 18. Network Forensics. Future Directions. Fall 2005. 2. Summary. Have covered a lot of material
    www.cs.uidaho.edu/~ctaylor/CS447/CourseNotes/CS447-Lecture18-Fall-2005.ppt

  • CS 447/557 Computer Forensics (PPT) -
    1. CS 447/557 Computer Forensics. Lecture 5. Tools fComputer Forensics. Fall 2005. 2. Introduction. To be a successful Computer Forensics investigat
    www.cs.uidaho.edu/~ctaylor/CS447/CourseNotes/CS447-Lecture5-Fall-2005.ppt

  • Computer Forensics (PPT)-
    COS/PSA 413. Day 3. Guide to Computer Forensics and Investigations, 2e. 2. Agenda. Questions? Assignment 1 due; Lab Write-ups (project 2-1 and 2-2) due next
    perleybrook.umfk.maine.edu/slides/fall%202005/cos413/cos413day3.ppt

  • Computer Forensics (PPT) -
    Computer Forensics. Sara Jones CSC 105:05. Objectives. The Field of Computer Forensics; History of Computer Forensics; Collecting Evidence
    www.middlesexcc.edu/faculty/steven_zale/Computer_%20Forensics.ppt

  • Computer Forensics Project Report – Team D (PPT)-
    Computer Forensics Project Report – Team D. Team D Members:. Joseph Dickason; Jason Meltz; Gene Ruegge. Circumstance Leading to the Investigation
    www.cs.uno.edu/~jdickaso/Computer%20Forensics%20Project%20Report%20%96%20Team%20D.ppt

  • Computer Forensics (PPT) -
    2. Objectives. Determine the best acquisition method; Plan data-recovery contingencies; Use MS-DOS acquisition tools. DriveSpy. Use GUI acquisition tools
    coitweb.uncc.edu/~nblong/ITIS%204250/Lectures/ch09.ppt

  • Computer Forensics (PPT) -
    Computer Forensics. NTFS File System. MBR and GPT Disks. MBR disks f32b 86x-compatibles; GPT disks f64b Itanium processors
    www.cse.scu.edu/~tschwarz/coen152_05/PPtPre/NTFSFS.ppt

  • Legal Issues in Computer Forensics (PPT) -
    Legal disclaimer: This presentation is finformation purposes only. The authis is not a lawyer and is not responsible fany inaccuracies
    cs.ua.edu/691Dixon/Forensics/StudentPresentations/LegalIssuesInForensics.ppt

  • Computer & Network Forensics (PPT)-
    Intro to End-to-End Digital Investigation. Peter R. Stephenson, PhD. CISSP, CISM, FICAF. The Center fRegional and National Security
    people.emich.edu/pstephen/my_presentations/Intro%20to%20end-to-end%20digital%20investigation%20-%202.ppt

  • Computer & Network Forensics (PPT) -
    A New Approach to Complex Digital Investigations. Peter Stephenson CPE, CISSP, CIFI, CISM, FICAF. Chief Technology Officer, U.S. Operations,
    people.emich.edu/pstephen/my_presentations/New%20Approaches%20to%20Complex%20Digital%20investigation.ppt

  • The Essential Conflict between “Computer” and “Forensics” Eur Ing (PPT) -
    The Essential Conflict between “Computer” and “Forensics” Eur Ing Matthew W A Pemble CEng FBCS CITP FICAF MIET CISSP CFE CISM
    buchananweb.co.uk/bcs2006/mpemble.ppt

  • Importance of Incident Handling and Computer Forensics in (PPT)-
    husin@niser.org.my. THE IMPORTANCE OF INCIDENT HANDLING AND COMPUTER FORENSICS IN INFORMATION WARFARE LT COL HUSIN BIN HJ JAZRI cissp DIRECT
    https://sosiw2003/sosiw2003%20presentation/Incident%20Handling%20&%20Computer%20Forensics%20final.ppt



    SCHOLORALY WRITINGS ON COMPUTER, DIGITAL AND NETWORK FORENSICS



  • Secure audit logs to support computer forensics
    B Schneier, J Kelsey - ACM Transactions on Information and System Security (TISSEC), 1999 - portal.acm.org Secure Audit Logs to Support Computer Forensics BRUCE SCHNEIER and JOHN KELSEYCounterpane Systems Secure Audit Logs to Support Computer Forensics • 161

  • The future of computer forensics: a needs analysis survey.
    MK Rogers, K Seigfried - Computers & Security, 2004 - tech.purdue.edu Page 1. The future of computer forensics: a needs analysis survey KEYWORDS Digitalforensics; Computer forensics; Cyber crime; Computer crime; Cyber forensics

  • A Recursive Session Token Protocol FUse in Computer Forensics and TCP Traceback
    B Carrier, C Shields - ieeexplore.ieee.org Page 1. A Recursive Session Token Protocol FUse in Computer Forensics and TCPTraceback Brian Carrier Clay Shields Center fEducation and Research in

  • Fundamentals of Computer Forensics
    J Bates - Information Security Technical Report, 1998 - ingentaconnect.com Fundamentals of Computer Forensics. Author: Bates J. Source: Information SecurityTechnical Report, 1998, vol. 3, no. 4, pp. 75-78(4).

  • Extreme Programming Refactored: The Case Against XP
    M Stephens, D Rosenberg, G Mohay, A Anderson, B … - portal.acm.org This is certainly one of the reasons why computer forensics is a topic of interestto many, and one of the reasons why someone might purchase this book.

  • Computer forensics education
    A Yasinsac, RF Erbacher, DG Marks, MM Pollitt, PM … - Security & Privacy Magazine, IEEE, 2003 - ieeexplore.ieee.org Evolution The term computer forensics has many synonyms and con- texts. P ETER M.S OMMER LSE Computer Security Research Centre Computer Forensics Education

  • Scene of the Cybercrime: Computer Forensics Handbook
    DL Shinder, DL Shinder… - 2002 - books.google.com 800 Hingham Street Rockland, MA 02370 Scene of the Cybercrime: Computer ForensicsHandbook Copyright © 2002 by Syngress Publishing, Inc. All rights reserved.

  • Computer Forensics Today
    KJ Kuchta - Information Systems Security, 2000 - lazarusalliance.com © 2 0 0 0 CRC PRESS LLC Computer Forensics Today Kelly J. (KJ) Kuchta Computer forensicshas recently made its presence felt in the business commu- nity.

  • Secure Audit Logs Server to support computer forensics in criminal investigations
    L Jiqiang, H Zhen, L Zengwei - TENCON'02. Proceedings. 2002 IEEE Region 10 Conference on …, 2002 - ieeexplore.ieee.org ProcedZ’gs of IEEE TENCON’02 180 SECURE AUDIT LOGS SERVER TO SUPPORT COMPUTER FORENSICSIN CRIMINAL INVESTIGATIONS Liu Jiqiang Han Zhen Lan Zengwei

  • Automated diagnosis fcomputer forensics
    C Elsaesser, MC Tanner - antareja.rvs.uni-bielefeld.de 1 Automated diagnosis fcomputer forensics Next, we give an overview ofcomputer-aided diagnosis and describe how it matches the computer forensics activity.

  • Computer Forensics
    I Armstrong - SC Magazine, April, 2000 - tlsi.net Page 1. August 2002 - Cover Story Computer Forensics Detecting the Imprintby Illena Armstrong Ferreting out evidentiary imprints

  • The discipline of Internet forensics
    H Berghel - Communications of the ACM, 2003 - portal.acm.org At this point, Internet Forensics has not been fully appreciated because of itsproximity, historically and conceptually, with computer forensics—which I

  • An Overview of Disk Imaging Tool in Computer Forensics
    MM Saudi - SANS Institute, 2001 - niser.org.my Page 1. AN OVERVIEW OF DISK IMAGING TOOL IN COMPUTER FORENSICS By Madihah Mohd.Saudi Page 2. An overview of disk imaging tool in computer forensics 1. Objective

  • Computer Forensics: High-Tech Law Enforcement
    L Garber - IEEE Computer, 2001 - doi.ieeecomputersociety.org on a PC. THE COMPUTER-FORENSICS INVESTIGATOR. According to IACIS hurt computerforensics in the future. THE COMPUTER-FORENSICS LAB.

  • Mining e-mail content fauthidentification forensics
    O de Vel, A Anderson, M Corney, G Mohay - ACM SIGMOD Record, 2001 - portal.acm.org 1. INTRODUCTION Computer forensics undertakes the post-mortem reconstruc- tion ofthe (causal) sequence of events arising from an intru- sion perpetrated by an

  • Sharing network logs fcomputer forensics: a new tool fthe anonymization of netflow records
    AJ Slagell, Y Li, K Luo - Security and Privacy fEmerging Areas in Communication …, 2005 - ieeexplore.ieee.org Page 1. 1 Sharing Network Logs fComputer Forensics: A New Tool ftheAnonymization of NetFlow Records Adam J Slagell, Yifan

  • Towards proactive computer-system forensics
    PG Bradford, M Brown, J Perdue, B Self - Information Technology: Coding and Computing, 2004. …, 2004 - ieeexplore.ieee.org program executions. 1. Introduction Changing technology is one constantthat concisely im- pacts computer forensics. What fixed

  • Future technologies from trends in computer forensic science
    V Civie, R Civie - Information Technology Conference, 1998. IEEE, 1998 - ieeexplore.ieee.org technologies. I INTRODUCTION Computer Forensics has recently gained significantpopularity with many local law enforcement agencies.

  • Electronic Evidence and Computer Forensics
    L Volonino - Communications of the Association fInformation Systems ( … - cais.isworld.org Volume 12, Article 27 October 2003 ELECTRONIC EVIDENCE AND COMPUTER FORENSICSLinda ELECTRONIC EVIDENCE AND COMPUTER FORENSICS Linda

  • Computer and Intrusion Forensics
    GM Mohay, B Collie, O Vel, RD McKemmish, A … - 2003 - books.google.com Computer Forensics and Privacy, Michael A. Caloyannides Computer and IntrusionForensics, George Mohay, Alison Anderson, Byron Collie, Olivier de Vel, and

  • Computer forensics
    DHB Wolfe - Computers and Security, 2003 - ingentaconnect.com Computer forensics. Author: Wolfe DHB. Source: Computers and Security, January2003, vol. 22, no. 1, pp. 26-28(3). Publisher: Elsevier Science.

  • The Enhanced Digital Investigation Process Model
    V Baryamureeba, F Tushabe - Digital Forensics Research Workshop (DFRWS) - ics.ac.ug Keywords Computer Forensics, Crime Scene Investigation, Forensic Process model,Ab- stract Digital Forensic Model, Integrated Digital Investigation Process

  • The Trojan Made Me Do It: A First Step in Statistical Based Computer Forensics Event Reconstruction
    M Carney, M Rogers - International Journal of Digital Evidence, 2004 - ijde.org Spring 2004, Volume 2, Issue 4 The Trojan Made Me Do It: A First Step inStatistical Based Computer Forensics Event Reconstruction

  • Computer Forensics Investigations in a Corporate Environment
    D Sinangin - Computer Fraud & Security, 2002 - ingentaconnect.com Computer Forensics Investigations in a Corporate Environment. Author: Sinangin D.Source: Computer Fraud & Security, 1 June 2002, vol. 2002, no. 6, pp. 11-14(4)

  • Substantially instantaneous storage restoration fnon-computer forensics applications
    DW Biessener, JA Frolik, GR Biessener - US Patent 6,345,346, 2002 - Google Patents Page 1. United States Patent Biessener et al. (54) SUBSTANTIALLY INSTANTANEOUSSTORAGE RESTORATION FNON- COMPUTER FORENSICS APPLICATIONS

  • Society cannot function without privacy
    M Caloyannides - IEEE Security & Privacy Magazine, 2003 - computer.org 1 (See www.cyberslapp.org fmore.) An entire cottage industry in computer forensicshas emerged to service the insatiable appetite of law enforcers and

  • Defining Digital Forensics Examination and Analysis Tools using Abstraction Layers
    B Carrier - International Journal of Digital Evidence, 2003 - eng.iastate.edu and code review. Efforts by the NIST Computer Forensics Tool Testing Group[6] can help reduce this type of error. Ideally, one

  • Applications of Data Mining in Computer Security
    D Barbara, S Jajodia - 2002 - books.google.com The last article deals with the application ofdata mining to computer forensics. 222 References 223 9 E-mail Authorship Attribution fComputer Forensics 229

  • EnCase: A Case Study in Computer-Forensic Technology
    L Garber - IEEE Computer Magazine January, 2001 - cosgroveconsult.com If you talk to many of the police de- partments in the US with computer- forensicsunits, they’ll tell you that the tool they use most often is EnCase.

  • Forensics and the GSM Mobile Telephone System
    SY Willassen - International Journal of Digital Evidence, 2003 - ijde.org Forensics and the GSM mobile telephone system Svein Yngvar Willassen, M.Sc, SeniorInvestigator, Computer Forensics, Ibas AS Abstract The GSM system has become

  • A forensic methodology fcountering computer crime
    PA Collier, BJ Spaul - Artificial Intelligence Review, 1992 - Springer science. The term suggested fthis new discipline is computer forensics'.Key Words: Computer crime, Forensics 1. INTRODUCTION

  • Teaching data security at university degree level
    M Dornseif, FC Gaertner, M Mink, L Pimenidis - Proceedings of the WISE04 (to appear). Internet: http://md. … - www-i4.informatik.rwth-aachen.de Keywords: university degree curriculum, practical elements, computer forensics,sum- mer school, offensive techniques 1 Introduction

  • Identifying significant features fnetwork forensic analysis using artificial intelligent …
    S Mukkamala, AH Sung - International Journal of Digital Evidence, 2003 - utica.edu paper concerns network forensics, offline intrusion analysis and the related issueof identifying important input features fcomputer forensics and intrusion

  • Successful Evolution of Software Systems
    H Yang, M Ward - 2003 - artechhouse.com Simulation and Software Radio fMobile Communications; Computer Forensics andPrivacy; Detecting and Classifying Low Probability of Intercept Radar.

  • A Framework of Distributed Agent-based Network Forensics System
    R Wei - Proceedings of DFRWS’2004, 2004 - dfrws.org 7 Where is it? DF CF NF CF:Computer Forensics NF:Network Forensics DF:Digital ForensicsPage 8. Aug 11,2004 DFRWS2004 Email:renw@public.wh.hb.cn 8
    [PS]

  • Building theoretical underpinnings fdigital forensics research
    S Mocas - Digital Investigation, 2004 - cs.pdx.edu [17] Olivier De Vel, Malcolm Corney, Alsion Anderson, and George Mohay. Languageand gender analysis of e-mail authorship fcomputer forensics. In Proc. 2

  • Legal system and computer forensics business
    I Takahashi - Applications and the Internet Workshops, 2004. SAINT 2004 …, 2004 - ieeexplore.ieee.org Page 1. Legal system and Computer Forensics business Ikuo Takahashi The Chambersof Mr.Ikuo Takahashi 1 Definition and Viewpoint of Analysis 1.1.

  • Electronic Discovery & Computer Forensics
    D Fahey - 2004 - giac.org & Computer Forensics GSEC Practical Assignment 1.1– Abstract. Computer Forensicsis an industry buzz word that has been around fthe last couple of years.

  • A New Model of Immune-Based Network Surveillance and Dynamic Computer Forensics
    T Li, J Ding, X Liu, P Yang - Lecture Notices in Computer Science, 2005 - Springer A New Model of Immune-Based Network Surveillance and Dynamic Computer ForensicsTao Li, Juling Ding, Xiaojie Liu, and Pin Yang Sichuan

  • Process Forensics: A Pilot Study on the Use of Checkpointing Technology in Computer Forensics
    M Foster, JN Wilson - International Journal of Digital Evidence, 2004 - ijde.org Process Forensics: A Pilot Study on the Use of Checkpointing Technology in ComputerForensics Mark Foster Joseph N. Wilson University of Florida Abstract

  • Forensics Methodologies: A Computer Forensic Professional’s Compass!
    KJ Kuchta - Information Systems Security - forensicsconsulting.com This is the fourth arti- cle in a five-part series on computer forensics consideringfive aspects of a computer forensics program: building a forensics

  • Computer forensics

  • and the ATA interface
    A Vidström - foi.se Technical report Computer Forensics and the ATA Interface Arne Vidström Technicalreport Computer Forensics and the ATA Interface Arne Vidström Page 4.

  • Investigative Profiling with Computer Forensic Log Data and Association Rules
    T Abraham, O de Vel - Proceedings of the 2002 IEEE International Conference on …, 2002 - doi.ieeecomputersociety.org logs. 1 Introduction Computer Forensics undertakes the post-mortem, or“after-the-event” analysis of computer crime. Of particu

  • Cross-validation of file system layers fcomputer forensics
    J Sremack - Digital Forensics Research Workshop, August, 2003 - ncsu.edu Page 1. Cross-Validation of File System Layers fComputer Forensics JoeSremack North Carolina State University Abstract This paper

  • Rich Event Representation fComputer Forensics'
    B Schatz, G Mohay, A Clark - Asia Pacific Industrial Engineering and Management Systems ( …, 2004 - logisticsresearch.qut.edu.au RICH EVENT REPRESENTATION FCOMPUTER FORENSICS Bradley Schatz, GeorgeMohay and Andrew Clark Information Security Research Centre

  • Hacking Exposed Computer Forensics: Secrets & Solutions
    C Davis, A Philipp, D Cowen - 2004 - books.google.com Page 1. Secrets & Solutions and David Cowen Osborne Page 2. HACKING EXPOSED"COMPUTER FORENSICS SECRETS & SOLUTIONS "Hacking Exposed

  • Gender-preferential text mining of e-mail discourse
    M Corney, O de Vel, A Anderson, G Mohay - Computer Security Applications Conference, 2002. Proceedings …, 2002 - ieeexplore.ieee.org the rise in the use of computers and computer net- works fillegal activities(eg, fraud, money laundering etc.), the area of computer forensics has become

  • Intrusion detection systems as evidence
    P Sommer - Computer Networks, 1999 - 4law.co.il His commercial consultancy includes expert witness work in both criminal and civilproceedings, computer forensics, insurance risk analysis and investigations

  • Advancing crime scene computer forensic techniques
    C Hosmer, J Feldman, J Giordano - Proceedings of SPIE- The International Society fOptical …, 1999 - spie.org Advancing crime scene computer forensics techniques Hosmer, Chet, WetStone Technologies,Inc.; Feldman, John, Giordano, Joe, Air Force Research Lab.

  • Secure Audit Logs to Support Computer Forensics
    BSJ Kelsey - ACM Transactions on Information and System Security, 1999 - cs.plu.edu Page 1. Secure Audit Logs to Support Computer Forensics Bruce SchneierJohn Kelsey f schneier,kelsey g @counterpane.com Counterpane

  • Computer Forensics Applied to Windows NTFS Computers
    A Svensson - Retrieved September, 2005 - dsv.su.se Page 1. Computer Forensics Applied to This thesis is intended fsecurity personnel,students other people that are new to computer forensics.

  • A hierarchical, objectives-based framework fthe digital investigations process
    NL Beebe, JG Clark - Digital Forensics Research Workshop (DFRWS) - dfrws.org abstraction. Keywords Digital investigative process, digital forensics,computer forensics, analysis, framework INTRODUCTION The

  • A Formalization of Digital Forensics
    R Leigland, AW Krings - International Journal of Digital Evidence, 2004 - tech.purdue.edu and presenting digital evidence in a manner that is le accepted” [3]. It is sometimesreferred to as forensic computing, computer forensics, network

  • High-tech forensics
    W Harrison, G Heuston, S Mocas, M Morrissey, J … - Communications of the ACM, 2004 - portal.acm.org computers. The average officer receives little no instruction in computerforensics during training at the Police Academy. Local

  • Automated analysis fdigital forensic science: semantic integrity checking
    T Stallard, K Levitt - Computer Security Applications Conference, 2003. Proceedings …, 2003 - ieeexplore.ieee.org [5] C. Elsaesser and M. Tanner. Automated diagnosis fcomputer forensics.Technical report, The Mitre Cor- poration, 24 September 2001.

  • STANDARDIZATION OF COMPUTER FORENSIC PROTOCOLS AND PROCEDURES
    MA dos Reis, PL de Geus - Proceedings of the 14th Annual Computer Security Incident … - dcc.unicamp.br The lack of good policies and reliable procedures is a serious problem when thescope comes to computer forensics, since it is a rela- tively recent forensic

  • Forensics fSystem Administrators
    S Peisert - Usenix; Login, 2005 - sdsc.edu As mentioned, these attacks and the methods used to analyze them were representativeof the inconclusiveness that computer forensics usually provides.

  • Maintaining the Forensic Viability of Log Files
    T Ceresini - 2001 - giac.org As stated in an article entitled “Computer Forensics” in the magazine Internal Auditor: Bigler, Mark. “Computer Forensics.” Internal Auditors, Vol.

  • NOSCAM: Sequential System Snapshot Service
    A Gehani, G Kedem - CSDS 1st Computer Forensics Workshop, 2002 - cs.duke.edu An analogous approach is applicable to computer forensics as well. Computer forensicsis thus likely to play a greater role in dealing with security breaches.

  • A Grammar fthe Specification of Forensic Image Mining Searches
    R Brown, B Pham, O De Vel - Eighth Australian and New Zealand Intelligent Information …, 2003 - rootdba.com INTRODUCTION Computer forensics is the application of computer analysis techniquesto determine potential legal evidence of com- puter crimes misuse that

  • NIST CFTT: Testing Disk Imaging Tools
    JR Lyle - Proc. 2 ndDigital Forensic Research Workshop, 2002 - ijde.org provide the information necessary ftoolmakers to improve tools, fusers tomake informed choices about acquiring and using computer forensics tools, and

  • Gathering Digital Evidence in Response to Information Security Incidents
    SJ Wang, CH Yang - present in IEEE International Conference on Intelligence and …, 2005 - Springer Nowadays, with computer forensics being available, some enterprises will attemptto use a program composed in-house to proceed with computer forensics [2

  • ECF-event correlation fforensics
    K Chen, A Clark, O De Vel, G Mohay - Proceedings of the 1st Australian Computer, Network & …, 2003 - scissec.scis.ecu.edu.au current prototype. Keywords Event correlation, computer forensics, logs,events, heterogeneous event logs INTRODUCTION: The research

  • Decoy Systems: A New Player in Network Security and Computer Incident Response
    KA Charles - International Journal of Digital Evidence, 2004 - citeseer.ist.psu.edu Incident Response", url = "citeseer.ist.psu.edu/charles04decoy.html" } Citations(may not include all citations): 3 Computer Forensics -- Incident Response

  • Honeypot forensics part 1: analyzing the network
    F Raynal, Y Berthier, P Biondi, D Kaminsky - Security & Privacy Magazine, IEEE, 2004 - ieeexplore.ieee.org Although computer forensics focuses on ana- lyzing a system once we suspect ithas been compromised, we expect honeypots to be compromised.
    [PS]

  • Augmented Sequence Spectrum Kernels fSemi-Structured Document Categorization
    O de Vel - Proceedings of the Workshop on Text Mining and Link Analysis …, 2003 - www-2.cs.cmu.edu Our application area is computer forensics, which attempts to reconstruct the sequenceof events leading to some com- puter computer-assisted crime.

  • Reliable detection of LSB steganography based on the difference image histogram
    T Zhang, X Ping - Acoustics, Speech, and Signal Processing, 2003. Proceedings. …, 2003 - ieeexplore.ieee.org Steganalysis finds applications in cyber warfare, computer forensics, tracking criminalactivities over the internet and gathering evidence finvestigation

  • The locality principle
    PJ Denning - Communications of the ACM, 2005 - portal.acm.org application programs, search engines, Web browsers, edge caches forWeb-based environ- ments, and computer forensics. Tomorrow it

  • Hard disk interface used in computer forensic science
    C Wick, S Avramov-Zamurovic, J Lyle - Instrumentation and Measurement Technology Conference, 2004. …, 2004 - ieeexplore.ieee.org This new system is significant because knowing the behaviof computer forensicstools operating in the presence of I/O errors is critical to a complete

  • Wavelet based data mining and querying in network security databases
    W Liu, HX Duan, P Ren, X Li, JP Wu - Machine Learning and Cybernetics, 2003 International …, 2003 - ieeexplore.ieee.org Network security log databases are very important in intrusion detection and computerforensics. A lot of data mining methods to research it have been found.

  • The impact of forensic computing on telecommunications
    A Patel, SO Ciardhuain - Communications Magazine, IEEE, 2000 - ieeexplore.ieee.org 17, May 1998. [6] http://www.computer-forensics.com [7] JC Tseng, “Law and SecureComputing,” Int’lJ Foren- sic Comp., no. 11, Nov. 1997.

  • USING SELF-ORGANISING MAPS FANOMALOUS BEHAVIOUR DETECTION IN A COMPUTER FORENSIC INVESTIGATION
    BKL Fei, JHP Eloff, MS Olivier, HM Tillwick, HS … - Proceedings of the Fifth Annual Information Security South …, 2005 - mo.co.za E-mail: benniefei@yahoo.com ABSTRACT The dramatic increase in crime relating tothe Internet and computers has caused a growing need fcomputer forensics.

  • Image Forensics Technology fDigital Camera
    J Kim, Y Byun, J Choi - PCM2004 accepted, Nov, 2004 - Springer Fthe reason, computer scientists increasingly pay attention to computer forensicstechnology [1] that guarantees the integrity of multimedia data.

  • A Methodology fDetecting New Binary Rootkit Exploits
    J Levine, B Culver, H Owen - Proceedings IEEE SouthEastCon, 2003 - users.ece.gatech.edu Tech. The current state of the art in Computer Forensics Analysis doesnot provide a formal methodology finvestigation [16].

  • Keeping offline computer usage private
    M Caloyannides - Security & Privacy Magazine, IEEE, 2003 - ieeexplore.ieee.org Given the effectiveness of computer forensics and the fact that computer-storeddata can be easily stolen—whether online from afar through such openly ped

  • Detection Techniques fELF Executable File Using Assembly Instruction Searching
    JH Park, M Kim, BN Noh - Computational Science and Its Applications—ICCSA 2004: … - Springer Abstract. As the frequency of computer crime is increasing, computer forensicsbecame the center of interest in information security.

  • The mobile forensic platform
    F Adelstein - Proceedings of the 2002 Digital Forensic Research Workshop - net.ohio-state.edu ATC-NY 3 Background • Traditional computer forensics: have expertise to perform computerforensics • Difficult fa small number of people to conduct

  • On the role of file system metadata in digital forensics
    F Buchholz, E Spafford - Journal of Digital Investigation, 2004 - cerias.purdue.edu Keywords: Computer forensics; Digital forensics; Audit data; File systems; Intrusionanalysis 1 Introduction Computer Forensics and Privacy.

  • A case study in rapid introduction of an information assurance track into a software engineering …
    B Endicott-Popovsky, DA Frincke - Software Engineering Education and Training, 2004. …, 2004 - ieeexplore.ieee.org Computer forensics/incident response will expand from the current single courseinto a track in partnership with the Law School and the Albers School of

  • The Jurisprudence of Hard Disk Inspections: Protection by Protocol
    AI Cohen, GA Dombosch - certln.lexisnexis.com source of discovery because information computer users intended to “delete” oftencan be recovered from hard disks through computer forensics techniques.

  • Acquisition of a Palm OS PDA using@ Stake’s Palm dd, Paraben’s PDA Seizure, and Guidance Software’s …
    RP Mislan - Retrived November, 2005 - htcia-mountainstates.org To understand this in detail, it is important to first understand computer forensics,the acquisition process of computer forensics, the available Palm OS

  • Tool review e remote forensic preservation and examination tools
    E Casey, A Stanley - Digital Investigation, 2004 - strozllc.com Stroz Friedberg LLC, United States KEYWORDS Remote digital forensics; Live digitalforensics; Incident response; Electronic data discovery; Computer forensics

  • Intrusion behavidetection through visualization
    RF Erbacher - Systems, Man and Cybernetics, 2003. IEEE International …, 2003 - ieeexplore.ieee.org Keywords: Intrusion Detection, Visualization, Computer Forensics, and BehaviorCharacterization 1 Introduction Intrusions and misuse of computer systems are

  • Curbing gambling activities on the Internet
    SJ Wang, HJ Ke - Aerospace and Electronic Systems Magazine, IEEE, 2004 - ieeexplore.ieee.org the team members of this task force must have adequate computer-related knowledge,such as computer systems, networking systems, computer forensics, arid the

  • Towards A Validation Framework fForensic Computing Tools in Australia
    T Wilsdon, J Slay - European Conference of Information Warfare, 2005 - esm.cis.unisa.edu.au a graduate student in the School of Computer and Information Science midway throughcompleting his doctorate into IT Security and Computer Forensics with his

  • To Revisit: What is Forensic Computing?
    M Hannan - 2nd Australian Computer, Network & Information Forensics …, 2004 - scissec.scis.ecu.edu.au “Computer forensics can be defined as the collection, preservation, analysisand court presentation of computer-related evidence”

  • An International Perspective on Fighting Cybercrime
    W Chang, W Chung, H Chen, S Chou - Proc. 1st NSF/NIJ Symp. Intelligence and Security … - Springer Computer forensics labs should be established to collect digital evidence fromcomputer equipment and to provide training finvestigators.

  • The session token protocol fforensics and traceback
    B Carrier, C Shields - ACM Transactions on Information and System Security (TISSEC), 2004 - portal.acm.org Page 1. The Session Token Protocol fForensics and Traceback BRIAN CARRIERPurdue University and CLAY SHIELDS Georgetown University

  • Steganalysis: The Investigation of Hidden Information
    NF Johnson, S Jajodia - Proceedings of the IEEE Information Technology Conference, 1998 - cse.buffalo.edu Systems to recover seemingly destroyed information and steganalysis techniques willbe useful to law enforcement authorities in computer forensics and digital

  • Intrusion Management Using Configurable Architecture Models
    D Heimbigner, A Wolf - 2002 - cs.colorado.edu response, and how inconsistencies between the models and the actual system statecan support application-level anomaly detection and computer forensics analysis

  • Towards Hippocratic Log Files
    A Rutherford, R Botha, M Olivier - 2004 - mo.co.za KEYWORDS Computer Forensics, Hippocratic Databases, Internet, Intrusion Detection,Log Files, Personalization, Privacy, World Wide Web

  • Statistical profiling and visualization fdetection of malicious insider attacks on computer …
    JB Colombe, G Stephens - Proceedings of the 2004 ACM workshop on Visualization and …, 2004 - portal.acm.org [6] Erbacher RF and Sobylak K (2002) Improving intrusion analysis effectiveness.2002 Workshop on Computer Forensics, Moscow, ID, September, 2002.

  • Digital evidence: dream and reality
    R Oppliger, R Rytz - Security & Privacy Magazine, IEEE, 2003 - ieeexplore.ieee.org 187–208. 11. M. Caloyannides, Computer Forensics and Privacy, Artech House, 2001.12. G. Mohay et al., Computer and Intrusion Forensics, Artech House, 2003.

  • Cyber Defense 2003 & Information Assurance Education
    A Haynes, T Stratton - Proceedings IEEE 2003 International Conference on Systems, …, 2003 - itoc.usma.edu A new course was developed to give adequate coverage of topics such as perimeterdesign, intrusion detection, computer forensics, secure protocols, weaknesses

  • The role of key loggers in computer-based assessment forensics
    R Laubscher, MS Olivier, HS Venter, JHP Eloff, DJ … - Proceedings of the 2005 annual research conference of the …, 2005 - portal.acm.org LAUBSCHER, R, OLIVIER, MS, VENTER, HS, RABE, DJ, AND ELOFF, JHP 2005b. ComputerForensics fa Computer-based assessment: The preparation phase.

  • Intrusion analysis in military networks: an introduction
    M Karresand - foi.se 9 2 Related work 11 2.1 Computer forensics . . . . .

  • Software testing
    P Ron - 2001 - lavoisier.fr Is Security Vulnerability a Bug? Understanding the Buffer Overrun Using Safe StringFunctions Computer Forensics Summary Quiz 14. Website Testing.

  • End-to-End Digital Forensics
    P Stephenson - Computer Fraud & Security, 2002 - ingentaconnect.com security specialist, an auditor, a fraud examiner a member of law enforcmenthave an interest in cybercrime, and the use of computer forensics to detect

  • Live forensics: diagnosing your system without killing it first
    F Adelstein - Communications of the ACM, 2006 - portal.acm.org In the traditional "snatch and grab" approach to computer forensics, an investigatorpulls the plug on the machine, and then images (copies) the disk, either

  • Ethics and teaching information assurance
    B Endicoytt-Popuvsky - Security & Privacy Magazine, IEEE, 2003 - ieeexplore.ieee.org Barbara Endicott-Popovsky is on the faculty at Seattle University. Her main researchinterests are computer forensics and intrusion detection.

  • Forensics Data Handling
    T Gast - cybertrust.com Computer forensics involves the complex task of accurately investigating eventsactivities on computer systems without adversely affecting the integrity of

  • Poly/sup 2/paradigm: a secure network service architecture
    E Bryant, J Early, R Gopalakrishna, G Roth, EH … - Computer Security Applications Conference, 2003. Proceedings …, 2003 - ieeexplore.ieee.org Page 1. Poly 2 Paradigm: A Secure Network Service Architecture ∗ Eric Bryant,James Early, Rajeev Gopalakrishna, Gregory Roth, Eugene

  • Design of a Digital Forensics Image Mining System
    R Brown, B Pham, O de Vel - Submitted to the Eleventh International Multi-Media …, 2004 - rootdba.com The digital forensics investigative system (called “CFIT”, computerforensics investigative toolkit) is not described here.

  • Privacy vs. information technology
    M Caloyannides - Security & Privacy Magazine, IEEE, 2003 - ieeexplore.ieee.org Caloyan- nides is authof Computer Forensics and Privacy (Artech House, 2001)and Desktop Witness (Wiley & Sons, 2002). Contact him at micky@ieee.org.

  • Adding Availability to Log Services of Untrusted Machines
    A Arona, D Bruschi, E Rosti - Proc.“15th Annual Computer Security Applications Conference”( … - doi.ieeecs.org Abstract Uncorrupted log files are the critical system component fcomputer forensicsin case of intrusion and freal time system monitoring and auditing.

  • Content-based image retrieval fdigital forensics
    Y Chin, V Roussev, GG Richard III, Y Gao - Proceedings of the International Conference on Digital … - cs.uno.edu This task consumes a significant fraction of the resources of our partnersat the Gulf Coast Computer Forensics Lab (GCCFL). They

  • Disk imaging with the advanced forensic format, library and tools
    SL Garfinkel, DJ Malan, KA Dubec, CC Stevens, C … - Research Advances in Digital Forensics (Second Annual IFIP …, 2006 - eecs.harvard.edu http://www.sleuthkit.org/. [7] DIBS USA Inc. Computer Forensics. http://www.dibsusa.com/. [8] DIBS USA Inc. DIBS RAID - Rapid Action Imaging Device.

  • A Simple Framework fDistributed Forensics
    Y Tang, TE Daniels - Proceedings of the Second International Workshop on Security …, 2005 - doi.ieeecomputersociety.org system are agents and proxies. Agents will monitthe network that we needto do the computer forensics. Proxies are data processing

  • Disk wiping by any other name
    H Berghel, D Hoelzer - Communications of the ACM, 2006 - portal.acm.org With the advance of modern computer forensics tools, disk wiping (aka data wipingdisk/data erasing) has become increasingly important in the protection of

  • Australian Forensic Computing Investigation Teams: Research on Competence
    M Hannan, P Turner - Proceedings of The Seventh Pacific-Asia Conference on …, 2003 - pacis-net.org 16 Accountancy Tele-communications 17 Business Policing 18 Computer Forensics ComputerForensics 19 Incident Response Guidance Software 20 Policing Psychiatry

  • Application Defense: Next Generation of Unified Enterprise Security.
    S Rajput, B Hussain - International Workshop on Frontiers of Inf1rmation, …, 2003 - multimedia.ece.uic.edu We also discuss computer forensics, regulatory concerns of organizations, and currentstatus of application security. 2.6 Computer forensics [ 18 ]

  • Best practices: who says?
    W Harrison - Software, IEEE, 2004 - ieeexplore.ieee.org However, over the past several years, I’ve taken a serious interest in computerforensics, including looking fbetter ways to extract criminal evidence

  • A formal logic-based language and an automated verification tool fcomputer forensic investigation
    S REKHIS, N BOUDRIGA - Proceedings of the 2005 ACM symposium on Applied computing, 2005 - portal.acm.org Page 1. A Formal Logic-based Language and an Automated Verification Tool ForComputer Forensic Investigation Slim REKHIS Communication

  • The TAO of Network Security Monitoring
    B Richard - 2005 - lavoisier.fr what? answering this question has cost companies hundreds of thousands ofdollars in incident response and computer forensics fees.

  • Forensic Computing: An Introduction to the Principles and the Practical applications
    J Landman - 2005 - cit.uws.edu.au and Guidance Software. DIBS Computer Forensics created the first Disk ImageBackup System to allow fcomplete imaging of a hard disk.

  • Speech privacy technophobes need not apply
    MA Caloyannides - Security & Privacy Magazine, IEEE, 2004 - ieeexplore.ieee.org Caloy- annides is authof Computer Forensics and Privacy (Artech House, 2001;second edition due in October 2004) and Desk- top Witness (Wiley & Sons, 2002).

  • Capture the flag: Learning computer security under fire
    C Eagle, JL Clark - Avoiding Fear, Uncertainty and Doubt Through Effective … - cisr.nps.navy.mil Building up a picture of how the exercise has been constructed and findingtargets to analyze develops computer forensics skills.

  • A team teaching approach to inclusion of a security component in IS and CS curricula
    J Harris, M Cummings, F Dreher, K Chandra - Journal of Computing Sciences in Colleges, 2004 - portal.acm.org security goals and threats, cryptography, operating system security, network security,program security, database security, computer forensics, legal and

  • Improving the Protection of Logging Systems
    D Ayrapetov, A Ganapathi, L Leung - cs.berkeley.edu technology. Keywords Secure Audit Logs, computer forensics, intrusiondetection, tamper evidence, forward integrity. INTRODUCTION

  • Indra: a peer-to-peer approach to network intrusion detection and prevention
    RW Janakiraman, MQ Zhang - … : Infrastructure fCollaborative Enterprises, 2003. WET …, 2003 - ieeexplore.ieee.org 1993. [19] Brian Carrier and Clay Shields. A recursive session token protocolfuse in computer forensics and tcp traceback. In

  • Methods fcluster-based incident detection
    BD Carrier, B Matheny - Information Assurance Workshop, 2004. Proceedings. Second …, 2004 - ieeexplore.ieee.org ported to Internet mailing lists [13], has been documented by the Honeynet Group[5], and has been observed by our- selves while performing computer forensics.

  • Structured Investigation of Digital Incidents in Complex Computing Environments
    P Stephenson - INFORMATION SYSTEMS SECURITY, 2003 - emich.edu [PRS21] Stephenson, Peter. Getting the Whole Picture, Collecting Evidence of a ComputerCrime. “Computer Forensics and Security”, Elsevier, November 2002.

  • Image Mining and Retrieval Using Hierarchical Support VectMachines
    R Brown, B Pham - ieeexplore.ieee.org This approach has been applied to Image Mining fComputer Forensics, fthedetection of inappropriate image content in unstructured image databases, and

  • A hardware-based memory acquisition procedure fdigital investigations
    BD Carrier, J Grand - Digital Investigation, 2004 - grandideastudio.com 2004 Elsevier Ltd. All rights reserved. KEYWORDS Computer forensics; Digital evidence;Digital investigations; Incident response; Volatile data acquisition

  • Hidden Data in Internet Published Documents
    SJ Murdoch, M Dornseif - 21st Chaos Communication Congress, 2004 - 0null.net “Aachen Summerschool applied IT- Security”,“Computer Forensics” •http://mail-i4.informatik.rwth-aachen.de/ mailman/listinfo/lufgtalk/

  • Learning attack strategies from intrusion alerts
    P Ning, D Xu - Proceedings of the 10th ACM conference on Computer and …, 2003 - portal.acm.org It is often desirable, and sometimes necessary, to understand at- tack strategiesin security applications such as computer forensics and intrusion responses.

  • Integrating security across the computer science curriculum
    L Null - Journal of Computing Sciences in Colleges, 2004 - portal.acm.org Assigning programs to implement automated log software computer forensics softwarewould require using techniques learned in AI class. 4. CONCLUSION

  • Flow in computer hacking: A model
    AE Voiskounsky, OV Smyslova - Lecture Notes in Computer Science - Springer Sh.: The second self: Computers and the Human Spirit, Simon & Schuster (1984) [2]Shinder, DL, Tittel E.: Scene of the Cybercrime: Computer Forensics Handbook.

  • Intrusion Detection, Diagnosis and Recovery with Self-securing Storage
    JD Strunk… - 2002 - pdl.cs.cmu.edu Page 1. Intrusion Detection, Diagnosis, and Recovery with Self-Securing StorageJohn D. Strunk, Garth R. Goodson, Adam G. Pennington,

  • Computer Forensics in a LAN Environment
    MJ Corby - citeseer.ist.psu.edu Please let us know if you encounter any data corruptions. Computer Forensics ina LAN Environment (1999) (Make Corrections) Michael J. Corby.

  • Building a computer Forensics laboratory
    KJ KUCHTA - Information systems security, 2001 - cat.inist.fr Building a computer Forensics laboratory. Kelly J KUCHTA Information systemssecurity 10:22, 44-50, Auerbach, 2001. This is the first

  • Sharing Network Logs fComputer Forensics: A New tool fthe Anonymization
    A Slagell, Y Li, K Luo - 2005 - citeseer.ist.psu.edu Sharing Network Logs fComputer Forensics: A New Tool fthe Anonymization ofNetFlow Records (2005) (Make Corrections) (1 citation) Adam J Slagell, Yifan Li

  • Dynamic Computer Forensics Based on Artificial Immune System Against Network Intrusion
    JL Ding, XJ Liu, T Li, S Yang, P Yang, JL Ding, XJ … - Journal of Sichuan University: Engineering Science Edition, 2004 - csa.com Dynamic Computer Forensics Based on Artificial Immune System Against Network Intrusion. Therefore it is a good way fdynamic computer forensics.

  • A Lessons Learned Repository fComputer Forensics
    WH David - citeseer.ist.psu.edu A Lessons Learned Repository fComputer Forensics (2002) (Make Corrections) WarrenHarrison David Aucsmith Intel Corporation George Heuston Hillsboro

  • Computer forensics laboratory and tools
    GA Francia, K Clinton - Journal of Computing Sciences in Colleges, 2005 - portal.acm.org COMPUTER FORENSICS LABORATORY AND TOOLS * The following laboratory projects are designedto provide hands-on training exercises in computer forensics analysis.

  • “Computer Forensics & Networks’ Security” First Conference
    I this Edition - esecurity.co.ae 1. Computer Forensics & Nets’ Security Conf. “Computer Forensics & Networks’ Security”First Conference and hosted its first Computer Forensics

  • Your Computer Forensic Toolkit
    KJ Kuchta - INFORMATION SYSTEMS SECURITY, 2001 - lazarusalliance.com Security. T he last article was Part 1 of the series and was about buildinga computer forensics laboratory and what it should include.

  • Computer and Networks Security
    P Hall, R Examples, CE Techniques, AE Standard, PK … - utdallas.edu 13. W. Kruse II and J. Heiser, Computer Forensics, Addison Wesley, 2002. Grading:Not final yet, subject to change Homework & Programming (3 4) & Quiz 53%

  • The Linux Kernel and the Forensic Acquisition of Hard Disks with an Odd Number of Sectors
    JD Kornblum - ijde.org Currently based in the Washington DC area, his research focuses on computerforensics and computer security. He can also juggle.

  • Special section:“Interaction and visualisation techniques fproblem solving environments”
    E Zudilova, T Adriaansen, B Pham - Future Generation Computer Systems, 2005 - Elsevier CAD, image analysis, intelligent systems, and their applications in diverse domains(eg mining, urban planning, computer forensics, medical, meteorology

  • Steganalysis Techniques Based on Wavelet Texture Analysis
    SH Liu, HX Yao, W Gao , 2004 - ceps.com.tw copyright violation, prohibited usage and distribution of digital media, covertcriminal communication, computer criminality, computer forensics and network

  • A Software Agent Based Approach fFraud Detection in Network Crimes
    MR Patra, BB Jayasingh - LECTURE NOTES IN COMPUTER SCIENCE, 2004 - Springer 1 Department of Computer Science, Berhampur University, Berhampur 760 007, Indiamanasrpbu@yahoo.com 2 Computer Forensics Division, GEQD, Directorate of

  • User profiling using text classification
    PH Carter - Systems, Man and Cybernetics (SMC) Information Assurance …, 2005 - ieeexplore.ieee.org applicable in in formation assurance. Index terms - User Profiling, Classification,Text CIassification, Rocchio classifier, Computer Forensics I. INTRODUCTION

  • Digital evidence collection process in integrity and memory information gathering
    S Lee, H Kim, S Lee, J Lim - Systematic Approaches to Digital Forensic Engineering, 2005. …, 2005 - doi.ieeecomputersociety.org Stinson, "Cryptography - Theory and Practice", CRC Press, March 1995, pp.304-306,[11] Chris, Kevin, "Incident Response and Computer Forensics", Second Edition

  • Documentation of the Development of a Bootable Linux Distribution
    B Dykstra - virtualwar.com The reader could just as easily use these instructions to build a bootable Linuxdistribution that is focused on computer forensics, incident response just

  • Using SMART fCustomized Monitoring of Windows Services
    GP Larry - citeseer.ist.psu.edu 2002 Documents on the same site (http://www.projects.ncassr.org/sift/papers/): MoreSharing Network Logs fComputer Forensics: A New Tool for..

  • A Critical Evaluation of the Treatment of Deleted Files in Microsoft Windows Operation Systems
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  • Forensic examination of mobile phones
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    WC Summers, A DeJoie - Proceedings of the 1st annual conference on Information …, 2004 - portal.acm.org Some new courses that have been developed at our university include informationassurance, computer forensics and risk assessment.

  • Design of a Log Server fDistributed and Large-Scale Server Environments
    AÖB Dayolu, E Anuk, I Kanbur, O Alptekin - citeseer.ist.psu.edu 1998 11 Secure Audit Logs to Support Computer Forensics (context) - Schneier, Kelsey -1999 11 A Standard Audit Trail Format - Bishop - 1995 9 Automated

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  • Subject Index to Volume 10
    EML XML - Journal of Network and Systems Management, 2002 - Springer Protocol (CMIP), 506 Common Object Request Broker Architecture (CORBA), 144, 506Common Open Policy Service (COPS), 70, 86 Computer forensics, 250 Connection

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    M Geiger, LF Cran- IEEE Security and Privacy, 2006 - portal.acm.org Google, Inc. Subscribe (Full Service), Register (Limited Service, Free),Login. Search: The ACM Digital Library The Guide.

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    SPOC William - citeseer.ist.psu.edu Northcutt, Signatures - 2001 Documents on the same site (http://www.projects.ncassr.org/sift/papers/): More Sharing Network Logs fComputer Forensics: A New

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  • Internet Security Visualization Case Study: Instrumenting a Network for
    W Yurcik, Y Li - citeseer.ist.psu.edu Documents on the same site (http://www.projects.ncassr.org/sift/papers/): MoreSharing Network Logs fComputer Forensics: A New Tool for..

  • Storage-based intrusion detection: Watching storage activity fsuspicious
    A Pennington, J Strunk, J Griffin, C Soules, G … - 2003 - citeseer.ist.psu.edu Rosenblum - 2003 11 When virtual is better than real (context) - Chen, Noble - 200111 Secure audit logs to support computer forensics (context) - Schneier

  • Tamper Detection in Audit Logs
    RS Shilong - citeseer.ist.psu.edu Logs - Bellare, Yee - 1997 12 Timestamping After Commit (context) - Salzberg - 199411 Secure Audit Logs to Support Computer Forensics (context) - Schneier

  • This paper appears in: Applications and the Internet Workshops, 2004. SAINT 2004 Workshops. 2004 …
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  • Network Log Anonymization: Application of
    CPT Cisco - citeseer.ist.psu.edu Documents on the same site (http://www.projects.ncassr.org/sift/papers/): MoreSharing Network Logs fComputer Forensics: A New Tool for..

  • Editorial [First issue of IEE Proceedings Information Security]
    S Govan - Information Security, IEE Proceedings, 2005 - ieeexplore.ieee.org The examples are numerous and topical, from national security to secure electroniccommerce, from computer forensics to cybertrust and crime prevention.

  • The Design of VisFlowConnect-IP: a Link Analysis System fIP Security
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  • EDITORIAL BOARD
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  • CPAR: Classification based on Predictive Association Rules
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  • Proactive Intrusion Detection and Distributed Denial of Service Attacks—A Case Study in Security …
    JBD Cabrera, L Lewis, X Qin, W Lee, RK Mehra - Journal of Network and Systems Management, 2002 - Springer Page 1. Journal of Network and Systems Management, Vol. 10, No. 2, June 2002 (C 2002) Proactive Intrusion Detection and Distributed

  • Spam: the evolution of a nuisance.
    S Hinde - Computers & Security, 2003 - compseconline.com A computer forensics expert witness identified 11 Trojan horses on his computer,capable of carrying out actions without the user’s knowledge permission.

  • Forensic Software Tools fCell Phone Subscriber Identity Modules
    W Jansen, R Ayers - www-08.nist.gov 家里面对于 6. CONCLUSIONS Forensic examination of cellular devices isa growing subject area in computer forensics. Forensic

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    MA Caloyannides - Security & Privacy Magazine, IEEE, 2004 - ieeexplore.ieee.org He received a PhD from the California Institute of Technology. Caloyannides is authorof Computer Forensics and Pri- vacy (Artech House, 2001; second edi-

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    E Cooke, A Myrick, D Rusek, F Jahanian - Proceedings of the 2006 SIGCOMM workshop on Large-scale …, 2006 - portal.acm.org future with past information. Finally, event reports are often inadequatefdetailed computer forensics work. More information is

  • Engineering sloganeering? the counterattack on privacy
    MA Caloyannides - Security & Privacy Magazine, IEEE, 2003 - ieeexplore.ieee.org Caloyannides is authof Computer Forensics and Pri- vacy (Artech House, 2001)and Desktop Witness (Wiley & Sons, 2002). Contact him at micky@IEEE.org.

  • Using embedded sensors fdetecting network attacks
    F Kerschbaum, EH Spafford, D Zamboni - Proceedings of the 1st ACM Workshop on Intrusion Detection …, 2000 - cerias.purdue.edu Page 1. CERIAS Tech Report 2000-25 Using embedded sensors fdetecting networkattacks Florian Kerschbaum, Eugene H. Spafford, Diego

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    F Casadei, A Savoldi, P Gubian - Systematic Approaches to Digital Forensic Engineering, 2005. …, 2005 - ieeexplore.ieee.org Page 1. SIMbrush: an Open Source Tool fGSM and UMTS Forensics AnalysisFabio Casadei, Antonio Savoldi and Paolo Gubian Department

  • Semi-supervised data organization finteractive anomaly analysis.
    J Aslam, S Bratus, V Pavlu - ists.dartmouth.edu In computer forensics this situation arises when the nature and origin of an intru-sion are unknown, but some external evidence suggests that it has occurred

  • An intrusion detection system using ideas from the immune system
    FS de Paula, LN de Castro, PL de Geus - Evolutionary Computation, 2004. CEC2004. Congress on, 2004 - ieeexplore.ieee.org Page 1 O-7803-8515-2/041$20.O0 ©2004 IEEE 1059 An Intrusion Detection System UsingIdeas from the Immune System FabrIcio Sérgio de Paula Computing Institute

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    R AUTHENTICATION - sims.monash.edu.au Week 3 – Risk management Breaches, threats, vulnerabilities Week 4 – IS securityaccess controls Week 5 – IS Security Computer forensics Week 6 – The

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    CJ Antonelli, M Undy, P Honeyman - USENIX Workshop on Design Issues in Anonymity and …, 2000 - usenix.org (January, 1998). Peter Sommer, "Computer Forensics: an introduction," inhttp://www.virtualcity.co.uk/vcaforens.htm (1997). This

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    S Sackmann, J Strüker, R Accorsi - Communications of the ACM, 2006 - portal.acm.org ETRICS 2006, Lecture Notes in Computer Science 3995, Springer-Verlag, 2006. 8. Schneier,B. and Kelsey, J. Security audit logs to support computer forensics.

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  • Minimizing Bandwidth fRemote Access to Cryptographically Protected Audit Logs
    J Kelsey, B Schneier - Recent Advances in Intrusion Detection, 1999 - schneier.com 101 E. Minnehaha Pkwy Minneapolis, MN 55419 {kelsey,schneier}@counterpane.com Abstract.Tamperproof audit logs are an essential tool fcomputer forensics.

  • Effects of Age and Gender on Blogging
    J Schler, M Koppel, S Argamon, J Pennebaker - AAAI 2006 Spring Symposium on Computational Approaches to …, 2006 - nostratic.lingcog.iit.edu “Language and Gender AuthCohort Analysis of E-mail fComputer Forensics”, DigitalForensic Research Workshop, August 7 – 9, 2002, Syracuse, NY [5

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    M Bing, C Erickson - usenix.org [3] Bruce Schneier, ``Secure Audit Logs to Support Computer Forensics,'' ACMTransaction on Information and System Security, v.1, n.3, 1999.

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  • SURVEY OF CYBER-SECURITY AND A FUNDAMENTAL OF GEOMETRIC COMMON KEY AGREEMENT IN MANETS Shiuh-Jeng …
    JH Huang - actapress.com Also, if a computer forensics system is installed to guard against network crime,cyber criminals can be thwarted and cyber-crime reduced.

  • SOURCE CODE ANALYSIS AND PERFORMANCE MODELING OF MALWARE
    A Mylavarapu, A Chukkapalli - 2005 - cs.uwec.edu internet. The analysis will also aid in computer forensics to determine thesequence of files compromised. Page 2. 2 1. Introduction

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    I Response, W Policy, J Dixon - infosecwriters.com Intro to the Incident Response Process. In INCIDENT RESPONSE & COMPUTER FORENSICSSE (pp. 12-32). Emeryville, California: Osborne. Page 15.

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    S TODAY, AC LANDSCAPE - ieeexplore.ieee.org Page 1. 60 IT Pro January ❘ February 2001 1520-9202/01/$10.00 © 2001 IEEETuning Up the Search Engine Joseph Williams and Ravi Starzl

  • Combating cyber terrorism: countering cyber terrorist advantages of surprise and anonymity
    MW David, K Sakurai - Advanced Information Networking and Applications, 2003. AINA …, 2003 - ieeexplore.ieee.org and CAC Computer forensics is a key technology that supports theidentification of the source of incidents and attacks. Industry

  • SANS GIAC Level Two–Intrusion Detection in Depth
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  • Towards Distributed Privacy fCSCW’
    L Korba - ieeexplore.ieee.org Page 1. Towards Distributed Privacy fCSCW’ Larry Korba National Research Councilof Canada, Ottawa, Canada Larry. Korba@nrc. ca Abstnact

  • Authorship verification as a one-class classification problem
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  • A New Model fDynamic Intrusion Detection
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  • Appendix A: Survey–Part A, B and C with covering letter.
    R Brightman - nifs.com.au Page 1. Appendices Page 2. Appendix A 1 Appendix A: Survey – Part A, B and Cwith covering letter. Covering Letter - Background to Survey

  • Apparatus and method fprotecting against data tampering in an audit subsystem
    KA Asad, SA Samuel - US Patent 6,725,240, 2004 - Google Patents "Secure Audit Logs to Support Computer Forensics", Bruce Schneier and John Kelsey,May 1999,ACM Transactions on Information and System Security, vol. 2, No.

  • NEURAL NETWORKS APPROACHES ON ON-LINE HANDWRITTEN SIG-NATURE VERIFICATION SYSTEM
    F SIRAJ, A ZAKARIA, A YASSIN, WANHWAN ISHAK - dttx.citd.edu.vn In these cases, distinguishing between a valid and invalid digital signaturemay be impossible, even fa computer forensics specialist.

  • Verifiable audit trails fa versioning file system
    R Burns, Z Peterson, G Ateniese, S Bono - Proceedings of the 2005 ACM workshop on Storage security and …, 2005 - portal.acm.org Page 1. Verifiable Audit Trails fa Versioning File System Randal Burns,Zachary Peterson, Giuseppe Ateniese, Stephen Bono Department

  • Using Enterprise Architecture fCIO Decision-Making: On the importance of theory
    P Johnson, M Ekstedt, E Silva, L Plazaola - the Proceedings of the 2nd Annual Conference on Systems …, 2004 - uni.edu.ni Misuse and Anomaly DetectFunction Network Scanner Function System Scanner FunctionAccess Control Business Process Computer Forensics Business Process

  • An Analysis of Detailed Electronic Time-Stamping Using Digital TV
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  • Towards a Secure Logging Mechanism fDynamic Systems
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  • Direct construction of a secret in generalized group-oriented cryptography
    SJ Wang - Computer Standards & Interfaces, 2004 - Elsevier Page 1. Direct construction of a secret in generalized group-oriented cryptographyShiuh-Jeng Wang * Department of Information Management

  • Stealing The Network: how to own the box
    R Russell, T Mullen, D Kaminsky, J Moss - 2003 - books.google.com Page 1. P .' Stealing the Network “Stealing the Network is an entertainingand informative look at the weapons and tactics employed

  • On the relationship of privacy and secure remote logging in dynamic systems
    R Accorsi - Proceedings of the IFIP International Federation f… - informatik.uni-freiburg.de Page 1. On the Relationship of Privacy and Secure Remote Logging in DynamicSystems Rafael Accorsi Department of Telematics Albert

  • 2-5 Efficient Traceback Method fDetect-ing Illegal Access
    KAI Toshifumi, N Hiroshige, S Hiroshi, S Ayako, T … - Journal of the National Institute of Information and …, 2005 - nict.go.jp 4.1.1 Traceback In computer forensics, the goal is to locate the path of attackpackets in addition to identi- fying the attacker (terminal).

  • An Implementation of an Optical Data Diode
    MW Stevens - 1999 - dsto.defence.gov.au Since 1998 Malcolm has been working in the area of Computer Forensics. Page 6. viDSTO-TR-0785 Page 7. DSTO-TR-0785 vii Contents 1. INTRODUCTION 1

  • SVision: A Network Host-Centered Anomaly Visualization Technique
    IV Onut, B Zhu, AA Ghorbani - LECTURE NOTES IN COMPUTER SCIENCE, 2005 - Springer analysis effectiveness. Workshop on Computer Forensics, Moscow (2002) Page13. 28 Iosif-Viorel Onut, Bin Zhu, and Ali A. Ghorbani [6

  • Forensic analysis ftamper resistant software
    H Jin, J Lotspiech - Software Reliability Engineering, 2003. ISSRE 2003. 14th …, 2003 - ieeexplore.ieee.org Page 1. Forensic Analysis fTamper Resistant Software Hongxia Jin, JefferyLotspiech Computer Science Division IBM Almaden Research

  • ARTIFICIAL INTELLIGENCE AND FORMALISMS FLEGAL EVIDENCE: AN INTRODUCTION
    E NISSAN, AA MARTINO - Applied Artificial Intelligence, 2004 - Tayl& Francis Page 1. u ARTIFICIAL INTELLIGENCE AND FORMALISMS FLEGAL EVIDENCE: ANINTRODUCTION EPHRAIM NISSAN School of Computing and Mathematical

  • Georgia Tech Information Security Center Hands-On Network Security Laboratory
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  • Tracing the Root of” Rootable” Processes
    A Purohit, V Navda, T Chiueh - Proceedings of the 20th Annual Computer Security …, 2004 - doi.ieeecomputersociety.org Page 1. Tracing the Root of ”Rootable” Processes Amit Purohit, VishnuNavda and Tzi-cker Chiueh Stony Brook University Abstract

  • Exploiting Proof of Concept (POC) Code fthe ShowHelp () local CHM File Execution Vulnerability To …
    GCI Handler, P Assignment, R Young - giac.org Page 1. © SANS Institute 2004, Authretains full rights. Key fingerprint = AF19FA27 2F94 998D FDB5 DE3D F8B5 06E4 A169 4E46 © SANS Institute 2004,

  • SemiconductFactory and Equipment Clock Synchronization fe-Manufacturing
    Y Li, B Van Eck - nist.gov Page 1. SemiconductFactory and Equipment Clock Synchronization fe-ManufacturingYa-Shian Li Brad Van Eck NISTIR 7184 Page 2. NISTIR 7184

  • Enforcing Semantic Integrity on Untrusted Clients in Networked Virtual Environments
    U Hermann, S Katzenbeisser, C Schallhart, H Veith - Arxiv preprint cs.CR/0503080, 2005 - arxiv.org Page 1. arXiv:cs.CR/0503080 v1 29 Mar 2005 Enforcing Semantic Integrityon Untrusted Clients in Networked Virtual Environments ∗

  • Java Card E-Payment Application Development
    V Hassler, M Gordeev, M Manninger, C Muller - 2001 - books.google.com Computer Forensics and Privacy, Michael A. Caloyannides Demysty5ing the IPsec Puzzle,Sheila Frankel Electronic Payment Systems forE-Commerce, SecondEdition

  • Tamper detection in audit logs
    RT Snodgrass, S Yao, C Collberg - Proceedings of the International Conference on Very Large … - isys.ucl.ac.be Page 1. Tamper Detection in Audit Logs Richard T. Snodgrass, Shilong StanleyYao and Christian Collberg University of Arizona Department

  • NO, DON’T IM ME—INSTANT MESSAGING, AUTHENTICATION, AND THE BEST EVIDENCE RULE
    AM Grossman - law.gmu.edu Page 1. 7/11/2006 10:20:44 AM 2006] 1309 NO, DON’T IM ME—INSTANT MESSAGING,AUTHENTICATION, AND THE BEST EVIDENCE RULE Andrew M. Grossman * I NTRODUCTION

  • A novel visualization technique fnetwork anomaly detection
    IV Onut, B Zhu, AA Ghorbani - Proceedings of the Second Annual Conference on Privacy, …, 2004 - dev.hil.unb.ca Page 1. A novel visualization technique fnetwork anomaly detectionIosif-Viorel Onut Faculty of Computer Science University of

  • Web-Based Remote Administration Tools
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  • Algebraic signatures fscalable distributed data structures
    W Litwin, T Schwarz - Data Engineering, 2004. Proceedings. 20th International … - ieeexplore.ieee.org of signature length of 20B [N95], [KPS02] and the 16B MD5 signature, used to ascertainintegrity of files disk images in computer forensics, and Karp Rabin

  • A Policy-Driven, Content-Based Security Protocol fProtecting Audit Logs on Wireless Devices
    W Itani, A Kayssi, A Chehab, C Gaspard - ijns.nchu.edu.tw Page 1. International Journal of Network Security, Vol.3, No.2, PP.124–135,Sept. 2006 (http://isrc.nchu.edu.tw/ijns/) 124 A Policy

  • MSIS 2006: model curriculum and guidelines fgraduate degree programs in information systems
    JT Gorgone, P Gray, EA Stohr, JS Valacich, RT … - ACM SIGCSE Bulletin, 2006 - portal.acm.org Page 1. Reprint Communications of AIS, Volume 17, Article 1 MSIS 2006. Model Curriculumand Guidelines fGraduate Degree Programs in Information Systems

  • Is Digital Different
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  • Accelerating VQ-based codeword search on the basis of partial search strategy
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  • MSIS 2006: MODEL CURRICULUM AND GUIDELINES FGRADUATE DEGREE PROGRAMS IN INFORMATION SYSTEMS
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  • Intrusion Prevention System Based on Secure Mobile Agents
    MS Ahmad - 2006 - dsv.su.se Page 1. Intrusion Prevention System Based on Secure Mobile Agents By Muhammad ShahzadAhmad M ASTER’S T HESIS In Partial Fulfillment of the Requirements

  • A DYNAMIC, PERIMETER BASED, COMMUNITY-CENTRIC ACCESS CONTROL SYSTEM
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  • Towards Meeting the Privacy Challenge: Adapting DRM
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  • Cybercrime: Legal Standards Governing the Collection of Digital Evidence
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  • Forensic analysis of database tampering
    K Pavlou, RT Snodgrass - Proceedings of the 2006 ACM SIGMOD international conference …, 2006 - portal.acm.org Page 1. Forensic Analysis of Database Tampering Kyriacos Pavlou Department of ComputerScience University of Arizona Tucson, AZ kpavlou@email.arizona.edu

  • Cyber Security Project fSafe and Secure Network Services
    Y Kagei, K Nakagawa, T Tachi, M Takeda, T Nakagawa - NTT Technical Review, 2005 - ntt.co.jp network forensics -document originality assurance -information lifecyclemanagement -computer forensics -privacy protection -thin

  • Real-time Access Control Reconfiguration
    A Gehani, G Kedem - ida.liu.se [Gehani02b] Ashish Gehani and Gershon Kedem, NOSCAM : Sequential System SnapshotService,CSDS 1st Computer Forensics Workshop, 2002.

  • The Dos and Don’ts of Videoconferencing in Higher Education
    L Butters, A Clarke, T Hewson, S Pomfrett - SIMA (Support Initiative fMultimedia Applications) Report …, 1994 - agocg.ac.uk Page 1. The Dos and Don’ts of Videoconferencing in Higher Education HUSATResearch Institute Loughborough University of Technology

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  • Flight-Critical Data Integrity Assurance fGround-Based COTS Components
    F Report - tc.faa.gov Page 1. DOT/FAA/AR-06/2 Office of Aviation Research and Development Washington,DC 20591 Flight-Critical Data Integrity Assurance fGround-Based

  • User Interface Design
    S Stodo - Technical Bulletin, 2004 - uwplatt.edu The University of Wisconsin – Platteville. Computer Science and Software EngineeringSeniSeminar. Technical Bulletin. Volume 1. December 2004.

  • Anonymous wireless authentication on a portable cellular mobile system
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    NETWORK FORENSIC ARTICLES, PAPERS and PRESENTATIONS
    - The Big List.


  • ForNet: A Distributed Forensics Network -
    ForNet: A Distributed Forensics Network. Kulesh Shanmugasundaram, Nasir Memon, Anubhav Savant, and Herve Bronnimann. kulesh, anubhav. ¡. @isis.poly.edu,
    isis.poly.edu/projects/fornet/docs/pubs/mmm-acns-2003.pdf

  • ForNet: A Distributed Forensics Network -
    Outline. Motivation. Security fails. How often? Why? Infrastructure & Response Model. What is our safety net? Is it enough? What do we need?
    isis.poly.edu/projects/fornet/docs/talks/mmm-acns-2003-talk.pdf

  • Introduction to Network and Local Forensics -
    1. Introduction to. Network and. Local Forensics. Laura Chappell. Protocol Analysis Institute, LLC. Author, “Laura Chappell’s Master Library”
    www.packet-level.com/pdfs/TUT186-Forensics.pdf

  • Network Forensics Analysis with Evidence Graphs (Demo Proposal)-
    Network Forensics Analysis with Evidence Graphs. (Demo Proposal). Wei Wang and Thomas E. Daniels. Department of Electrical and Computer Engineering
    www.dfrws.org/2005/proceedings/wang_evidencegraphs.pdf

  • Distributed Approach to Network Forensics-
    Outline. Motivation. Overview of Proposed System. System Architecture. An Illustrative Example. Research Challenges. Page 3. Current Security Infrastructure
    www.dfrws.org/2003/presentations/Brief-Kulesh.pdf

  • Network Forensics Primer-
    Copyright 2005 Richard Bejtlich. 1. Network Forensics Primer. Richard Bejtlich. richard@taosecurity.com. www.taosecurity.com / taosecurity.blogspot.com
    www.infragard.net/library/congress_05/computer_forensics/network_primer.pdf

  • eTrust Network Forensics FAQs-
    Frequently Asked Questions. eTrust. ®. Network Forensics. Frequently Asked Questions. Q. Why do I need a network forensics analysis
    www3.ca.com/Files/FAQs/etrust_network_forensics_faq.pdf


  • CSS Group Investigates Network Traffic Crimes With e Trust Network-
    CSS Group Investigates Network Traffic. Crimes With eTrust. ™. Network Forensics. C U S T O M E R P R O F I L E. ca.com. “eTrust
    www3.ca.com/files/CustomerSuccesses/24957_css_group.pdf

  • Network forensics in a post GE world-
    Network forensics in a post GE world. yann berthier. yb@bashibuzuk.net. CSRRT. Hack.lu 2005. yann berthier yb@bashibuzuk.net (CSRRT)
    2005.hack.lu/wiki/images/8/89/Netflow_junta.pdf

  • Network Forensics Analysis-
    On the Wire. Network. Forensics Analysis. A. network’s physical layer is deceptively. quiet. Hub lights blink in response to net-
    www.sandstorm.net/support/netintercept/downloads/ni-ieee.pdf

  • FCM 745: Network Forensics-
    Network Forensics is affordable fmost Businesses. Forensic systems provide aid in network management. Regulatory requirements such as Sarbanes Oxley
    www.operativesoft.com/Product/network%20forensics.pdf

  • Network Forensics, Cybersecurity, and Protection of Public Network-
    Network Forensics,. Cybersecurity, and Protection. of Public Network Infrastructure. Anthony M. Rutkowski. Vice President fRegulatory Affairs and
    https://www.centr.org/docs/2005/11/Rutkowski.pdf

  • Building Evidence Graphs fNetwork Forensics Analysis-
    Building Evidence Graphs fNetwork Forensics Analysis. Wei Wang, Thomas E. Daniels. Department of Electrical and Computer Engineering
    www.acsac.org/2005/papers/125.pdf

  • CALL FPAPERS CNFR 2005: Computer Network Forensics Research-
    CALL FPAPERS. CNFR 2005: Computer Network Forensics Research Workshop. http://www.cnfr.org/. Part of IEEE/CreateNet SECURECOMM 2005
    www.cnfw.org/www.ece.iastate.edu/uploads/media/cfp-cnfr05.pdf

  • Computer Network Forensics Research Workshop Program-
    Computer Network Forensics Research Workshop Program. September 5, 2005. 8:00 a.m. Opening and Welcome. Thomas Daniels, Iowa State University
    www.cnfw.org/www.ece.iastate.edu/576/cnfrprogram2005.pdf

  • Experience with Engineering a Network Forensics System

    Experience with Engineering a Network. Forensics System. Ahmad Almulhem and Issa Traore. ISOT Research Lab. University of Victoria, Canada
    www.springerlink.com/index/1LKPD7771FQ87GE0.pdf

  • A Fuzzy Expert System fNetwork Forensics

    A. Laganà et al. (Eds.): ICCSA 2004, LNCS 3043, pp. 175–182, 2004. © Springer-Verlag Berlin Heidelberg 2004. A Fuzzy Expert System fNetwork Forensics
    www.springerlink.com/index/59841EGPPATQXKJ5.pdf

  • Trusted Internet Forensics: design of a network forensics appliance-
    1. Trusted Internet Forensics: design of a network. forensics appliance. extend abstract. D. Bruschi M. Monga E. Rosti. Dip. di Informatica e Comunicazione
    homes.dico.unimi.it/~monga/lib/cnfr6.pdf

  • Enhance Your SEIM Solution with NetWitness Network Forensics-
    With NetWitness, your SEIM. solution can now:. •. Instantly isolate the source of internal/. external attacks and expedite incident. response
    www.netwitness.com/downloads/SEIM_EndUser1.pdf

  • The Only Network Forensics Product that Instantly Provides-
    You and your clients can use. NetWitness to:. •. Instantly isolate the source of internal/external. attacks and expedite incident response
    www.netwitness.com/downloads/ChannelPartners1.pdf

  • Computer & Network Forensics fthe Enterprise-
    100100101001010001000101010010100101010010101010010101001010101001010101001010101001. Computer & Network Forensics fthe Enterprise
    www.digitalmountain.com/pdf/Computer_and_Network_Forensics_for_the_Enterprise_laser_printers.pdf

  • Lab-3: Network Forensics-
    Lab-3: Network Forensics. Digital Forensics. Spring 2004. Posted: February 12. th. Due: Rolling Deadline. This is a week-long assignment on network
    stan.sfs.poly.edu/courses/cs996-forensics/labs/net-forensics.pdf

  • Computer and Digital Forensic References Computer and Digital-
    This document is distributed without profit payment and is intended fnon-profit research and educational purposes. The referenced material does not
    people.bu.edu/burrell/resref0312.pdf

  • Distributed Network Forensics using JADE Mobile Agent Framework-
    1. Distributed Network Forensics using JADE. Mobile Agent Framework. Asha Nagesh, Graduate Student, Arizona State University, Division of Computing Studies,
    poly.asu.edu/technology/dcst/Projects/05-06/May06/asha_nagesh_report.pdf

  • Network Forensics - On the Hacker's Trail-
    Network. Forensics –. On the Hacker's. Trail. Network. Forensics –. On the Hacker's. Trail. Presented by Raghu K Dev /. Paladion Networks
    www.paladion.net/papers/HT2-103_ver0_4.pdf

  • Network Forensics and Next Generation Internet Attacks-
    1. Network Forensics and Next. Generation Internet Attacks. Moderated by: Moheeb Rajab. Background singers: Jay and Fabian
    www.cs.jhu.edu/~fabian/courses/CS600.624/slides/discussion.pdf

  • Computer and Network Forensics-
    Computer and Network Forensics. The First Step. Preservation of Evidence. Commercial and Litigation support. Presented by. Antonio Robinson, President
    www.pioneertechnology.com/downloads/forensics-presentation.pdf

  • Modeling Network Forensics Behavior

    Journal of Digital Forensic Practice, 1:57–65, 2006. Copyright © Tayl& Francis Group, LLC. ISSN: 1556-7281 print / 1556-7346 online
    taylorandfrancis.metapress.com/index/K02U372525172727.pdf

  • eTrust Network Forensics Release 1.0-
    eTrust. TM. Network Forensics Release 1.0. eTrust Network Forensics !"#$%&'()*+,-$./0123/%&4 !"#$%&'() HR !"#$%&' ()* !"#$%&IT !"#$%&'()*+,-%./0
    ca.com.cn/Products/Download/5/Product_4_3/eTrust%20Network%20Forensics%20r1.0.pdf

  • POLICIES TO ENHANCE COMPUTER AND NETWORK FORENSICS-
    Abstract. The Internet is growing explosively, as is the number of crimes committed. against using computers. As a response to the growth of computer
    cs.uga.edu/~jam/acm-se/review/referee/manzano.pdf

  • Network Forensics on Packet Fingerprints-
    Network Forensics on Packet Fingerprints. Chia Yuan Cho, Sin Yeung Lee, Chung Pheng Tan, Yong Tai Tan. DSO National Laboratories, 20 Science Park Drive,
    security.dso.org.sg/files/pub/network%20forensics%20on%20packet%20fingerprints.pdf

  • Source Address Validation Support fNetwork Forensics-
    Source Address Validation Support fNetwork Forensics. Khamphao Sisaat (sisaat-k@is.naist.jp). Nara Institute of Science and Technology, 8916-5 Takayama,
    iplab.naist.jp/publications/pub/Khamphao_JWIS2006.pdf

  • Network Forensics - On the Hacker's Trail

    2/23/2004. confidential. 1. Network Forensics. Hacker, You cannot Escape! Presented by. Raghu K Dev. Researched by. Roshen Chandran. Paladion Networks
    www.ewh.ieee.org/r2/wash_nova/computer/archives/feb04.pdf

  • NETWORK FORENSICS TRAINING-
    What: A 2-Day Basic Computer. Network Forensics. When: July 28 – 29, 2006. 8:00 am – 5:00 pm. Where: Salt Lake Community. College – Miller Campus
    www.strategicintel.com/Network%20Forensics%20Pamphlet.pdf

  • Network Forensics Analysis Tools: An Overview of an Emerging

    www.giac.org/practicals/GSEC/Rommel_Sira_GSEC.pdf - 2k -
  • Cached

  • Microsoft PowerPoint - 017-lm-network-forensics.ppt-

    1. Network Forensics. Terminology. • Vulnerability. – Weakness of some sort – software,. hardware, wetware, physical… • Threat
    nucia.unomaha.edu/tvidas/4380/slides/016.pdf

  • Intrusion Detection & Network Forensics
    V 1.0 Copyright SystemExperts 2001,2002,2003. Just checking This is a top level bullet. This is the next level in. This would be level 3
    www.colug.net/notes/0201mtg/SE-mirror/SE_IDS_SecSymp01.pdf

  • Computer Forensics & Network Security-
    Information Assurance Center. Information Assurance Center. Iowa State University. Iowa State University. 11. Computer Forensics &. Network Security
    www.cpcu-iowa.org/WebContent/2006/2006Meetings/2006%20I%20day%20Jacobson.pdf

  • COMPUTER FORENSICS/NETWORK SECURITY-
    2006-2007 Career Planning Guide. COMPUTER FORENSICS/NETWORK SECURITY. Spokane Community College/Spokane Falls Community College. Spokane Community College
    www.ccs.spokane.edu/files/students/CareerG/CompTech/CompForensics.pdf

  • Network Enabled Computer Forensics-
    Computer Forensics 101. &. Incident Response. Computer Forensics 101. &. Incident Response. Wednesday, October 1, 2003. The Leader in Computer Forensics and
    www.isacala.org/doc/2003oct1_workshop_pres.pdf

  • Sharing Network Logs fComputer Forensics: A New Tool fthe-
    1. Sharing Network Logs fComputer Forensics: A New Tool fthe Anonymization. of NetFlow Records. Adam J Slagell, Yifan Li and Katherine Luo
    laim.ncsa.uiuc.edu/downloads/slagell05a.pdf

  • US Government Agency Uses Security Forensics Solutions from-
    National security is a top priority fthe US government, and it is increasingly dependent. on technology. Effective operations require government agencies
    www.networkgeneral.com/Uploads/Files/solutionbrief_government_07-12-05.pdf

  • The Network-Centric Incident Response and Forensics Imperative-
    Copyright 2006 Richard Bejtlich. 1. The Network-Centric Incident Response and Forensics Imperative. v1.0. Richard Bejtlich. richard@taosecurity.com
    www.taosecurity.com/bejtlich_first_2006.ppt.pdf

  • Identification of Repeated Attacks Using Network Traffic Forensics-
    Identification of Repeated Attacks Using Network Traffic. Forensics. Alefiya Hussain John Heidemann Christos Papadopoulos. ISI-TR-2003-577b
    www.isi.edu/~johnh/PAPERS/Hussain03c.pdf

  • NetSecure06: Computer & Network Security & Forensics Conference-
    Illinois Institute of Technology. NetSecure06: Computer & Network Security & Forensics Conference. Wednesday March 8, 2006
    www.cpd.iit.edu/netsecure06/images/Netsecure06program.pdf

  • ForNet: A Distributed Forensics Network-
    ForNet: A Distributed Forensics Network. Research Experience fUndergraduates, Summer 2004. Daniel Speyer. University of Maryland. College Park
    www.cs.umd.edu/Honors/reports/ForNet2004.pdf

  • AmericA’s Premier DigitAl Forensics lAborAtory network-
    To learn more about the RCFL Program,. go to www.rcfl.gov. Mailing Address:. Engineering Research Facility. Building 27958-A. Quantico, VA 22135
    www.rcfl.gov/downloads/documents/NPO%20Brochure.pdf

  • MESA COMMUNITY COLLEGE NETWORK ACADEMY Advisement Checklist f-
    Visit our website at http://bii.mc.maricopa.edu. Revision date: 07/15/2004. Approved: 05/25/04. Effective: Fall 2004. MESA COMMUNITY COLLEGE NETWORK ACADEMY
    bii.mc.maricopa.edu/degrees/checklists/CCLCyberForensicsTechnician5228.pdf

  • Partner in America’s Premier Digital Forensics Laboratory Network-
    Partner in America’s. Premier Digital Forensics. Laboratory Network. Contact Information. San Diego RCFL. 9797 Aero Drive. San Diego, CA 92123
    www.rcfl.org/downloads/documents/RCFL_SanDiego_broS.pdf

  • Incident Handling Week2: Computing & Network Basics fForensics-
    1. April 13, 2004. Incident Handling (G. Berg & J. Gangolly). 1. Incident Handling. Week2: Computing & Network. Basics fForensics
    www.albany.edu/acc/courses/ia/inf766/IncidentHandlingModuleWeek2.pdf

  • Network Security and Forensics Research-
    YLS-11/25/2006. VG 1. Copyright 2005 Yeali S. Sun. All rights reserved. No part of this document. may be reproduced, stored in a retrieval system,
    www.icast.org.tw/events/workshop-2006-11-25/presentaion-files/5b6bya9e97netforensics.pdf

  • LNCS 3975 - An Embedded Bayesian Network Hidden Markov Model f-
    S. Mehrotra et al. (Eds.): ISI 2006, LNCS 3975, pp. 459–465, 2006. © Springer-Verlag Berlin Heidelberg 2006. An Embedded Bayesian Network Hidden Markov
    sml.nicta.com.au/Publications/homepublications/publications/papers/2006/DeVLiuCaeCae06.pdf

  • 1 Auditing, Intrusion Detection, Forensics, and Logging 1-
    1. Auditing, Intrusion Detection, Forensics, and Logging. 1. Auditing (Code, Host, Network & Password Audit Tools). Utilities fchecking and verifying
    www.certconf.org/presentations/2003/Tues/TT1HO1.pdf

  • Proceedings of 3rd Australian Computer, Network & Information-
    Proceedings of 3rd Australian Computer, Network. & Information Forensics Conference. Published by. School of Computer and Information Science
    scissec.scis.ecu.edu.au/conference_proceedings/2005/forensics/2005_forensics_proceedings.pdf



    DIGITAL FORENSIC ARTICLES, PAPERS and PRESENTATIONS
    - The Big List.




  • The Economics of Digital Forensics -
    1. Open Source Digital Forensics Tools. The Legal Argument. 1. Brian Carrier. carrier@cerias.purdue.edu. Abstract. This paper addresses digital forensic
    www.digital-evidence.org/papers/opensrc_legal.pdf

  • Digital Forensics Research Workshop 2005 Report -
    Copyright © 2006 DFRWS. All Rights Reserved. Page 1 of 36. DFRWS 2005 Workshop Report. Editor. Jessica Reust (StrozFriedberg). Contributors
    www.dfrws.org/2005/DFRWS2005FinalReport.pdf

  • FORZA – Digital forensics investigation framework that incorporate -
    FORZA – Digital forensics investigation framework that. incorporate legal issues. Ricci S.C. Ieong*. eWalker Consulting Ltd, Unit 4 5/F, Block 2 Nan Fung
    www.dfrws.org/2006/proceedings/4-Ieong.pdf

  • Digital Forensics at a University
    Digital Forensics at a. University. Calvin Weeks. Director, Oklahoma Digital Forensics Lab. University of Oklahoma. Page 2. Oklahoma Digital. Forensics Lab
    www.vascan.org/webdocs/news/fallconference/Calvin%20Weeks--Digital_Forensics.pdf

  • Microsoft PowerPoint - Crash-Course-in-Digital-Forensics.ppt -
    2. Copyright © 2006 Basis Technology Corp. All rights reserved. Overview. What is Digital Forensics? Basic Approach and Process. Basis Products
    www.basistech.com/knowledge-center/forensics/crash-course-in-digital-forensics.pdf

  • Odyssey Digital Forensics ® Keyword Search -
    Odyssey Digital Forensics® Keyword Search. The text you’re looking for, quicker. There are many ways to store a single word on a hard drive — using
    www.basistech.com/data-sheets/odyssey-keyword-search.pdf

  • DIGITAL FORENSICS: SLEUTHING ON HARD DRIVES AND NETWORKS -
    1. www.vtbar.org. THE VERMONT BAR JOURNAL • FALL 2005. The anonymous e-mail demand was blunt:. “This is your notice that you are being given
    www.strozllc.com/docs/pdf/BHowell_DigitalForensics.pdf

  • Digital Forensics Tools: The Next Generation -
    76 Richard & Roussev. Copyright © 2006, Idea Group Inc. Copying distributing in print electronic forms without written
    www.cs.uno.edu/~golden/Stuff/ideagroup2006.pdf

  • Content-Based Image Classification fDigital Forensics -
    Content-Based Image Retrieval fDigital Forensics. Yixin Chen, Vassil Roussev, Golden G. Richard III, Yun Gao. Department of Computer Science
    www.cs.uno.edu/~golden/Stuff/IFIP2004.pdf

  • Digital Forensics Research Workshop New Orleans, 2005 -
    Digital Forensics Research Workshop. New Orleans, 2005. Mowgli Assor. Ohio State University. Incident Reponse Team. security@osu.edu
    www3.net.ohio-state.edu/security/talks/2005/2005-09-01_secwog/dfrws.pdf

  • What is Digital Forensics? -
    1. DEVELOPING AN. UNDERGRADUATE COURSE IN. DIGITAL FORENSICS. Warren Harrison. PSU Center fInformation Assurance. Portland State University
    www.ccsc.org/northwest/2006/ppt/forensicstutorialHARRISON.pdf

  • Digital Anti-Forensics: Emerging trends in data transformation -
    Digital Anti-Forensics:. Emerging trends in data transformation techniques. Christian S.J. Peron &. Michael Legary. Seccuris Labs. Abstract
    www.seccuris.com/documents/papers/Seccuris-Antiforensics.pdf

  • Digital Forensics -
    C&IT 499F/581F. Copyright 2006 Purdue University, Marc. Rogers & Sean Leshney. 1. 1. Computer Forensics:. Basics. Lecture 9b. Evidence Acquisition
    courses.tech.purdue.edu/cit/CPT499F/Lectures%5CWeek6_Imaging.pdf

  • 499-D Small Scale Digital Device Forensics -
    499-D Small Scale Digital Device Forensics. Organization and Schedule. Semester:. Fall 2006. Lecture:. Mon., Wed. 10:30 AM - 11:20 AM. 8/21 – 12/10
    courses.tech.purdue.edu/cit/CPT499D/syllabus.pdf

  • Digital Forensics: Exploring Validation, Verification & Certification -
    Digital Forensics: Exploring Validation, Verification & Certification. Tom Wilsdon. 1. & Jill Slay. 2. Enterprise Security Management Laboratory
    esm.cis.unisa.edu.au/new_esml/resources/publications/digital%20forensics%20-%20exploring%20validation,%20

  • Digital forensics research -
    92. Telektronikk 1.2005. 1 Digital forensics. Digital forensics can be defined as the practice of sci-. entifically derived and proven technical methods and
    www.telenor.com/telektronikk/volumes/pdf/1.2005/Page_092-097.pdf

  • To Catch a Thief: Digital Forensics in Storage Networks
    EDUCATION. To Catch a Thief: Digital Forensics in Storage Networks © 2006 Storage. Networking Industry Association. All Rights Reserved.
    www.snia.org//tutorials/2006/spring/security/To_Catch_a_Thief_Digital_Forensics_In_Storage_Networks.pdf

  • To Catch a Thief: Digital Forensics in Storage Networks
    EDUCATION. To Catch a Thief: Digital Forensics in Storage Netwoks © 2006 Storage. Networking Industry Association. All Rights Reserved. 2. SNIA Legal Notice
    www.snia.org/education/tutorials/2006/fall/security/To-Catch-A-Thief-SecurityIV.pdf

  • (DRAFT v1.5) Digital Forensics and Information Assurance -
    Draft v1.5 3/8/04. (DRAFT v1.5) Digital Forensics and Information Assurance - Education and Research. Page 1 of 13. School (. *. NSA's Centers of
    csepi.utdallas.edu/Survey%20of%20Education%20and%20Research%20in%20DF%20and%20IA.pdf

  • News Release Digital Forensics and Emergency Preparedness -
    News Release. Fimmediate release. News contact:. Jenni Bullington, UTD, (972) 883-4431, jennib@utdallas.edu. Jon Senderling, UTD, (972) 883-2565,
    csepi.utdallas.edu/PR_13Aug2002_DFEPI.pdf

  • WIDEVINE® UNVEILS DIGITAL FORENSICS FCONSUMER DEVICES -
    FIMMEDIATE RELEASE. WIDEVINE® UNVEILS DIGITAL FORENSICS FCONSUMER. DEVICES. Widevine Mensor™ watermarks content delivered to PCs and set top boxes
    www.cinea.com/press/Widevine.pdf

  • Hard Challenges fDigital Forensics
    2. Marcus K Rogers PhD, CISSP, CCCI. Associate ProfessDepartment of. Computer Technology. CERIAS. Purdue University
    www.mser.gov.bc.ca/privacyaccess/Conferences/Feb2005/ConfPresentations/Marcus_Rogers.pdf

  • Third Annual IFIP WG 11.9 International Conference on Digital -
    Third Annual IFIP WG 11.9 International Conference on Digital Forensics. National Center fForensic Science. University of Central Florida
    www.cis.utulsa.edu/ifip119/Conferences/Conference%203/ConferenceProgram2007.pdf

  • Statistical Tools fDigital Forensics -
    Statistical Tools fDigital Forensics. Alin C. Popescu and Hany Farid. ⋆. Department of Computer Science at Dartmouth College. Abstract.
    www.cs.dartmouth.edu/farid/publications/ih04.pdf

  • Natural Image Statistics fDigital Image Forensics -
    Natural Image Statistics for. Digital Image Forensics. A Thesis Submitted to the Faculty. in partial fulfillment of the requirements fthe
    www.cs.dartmouth.edu/farid/publications/slthesis05.pdf

  • OSHEAN Forensic Education and Service Initiative In Association -
    Confidential, Created fOSHEAN. Page 1. 6/19/2006. Digital Forensics Center. At The University of Rhode Island. 9 Greenhouse Rd., Rm. 137
    www.oshean.org/oshean/documents/OSHEAN%20Grant%20Proposal.pdf

  • using memory dumps in digital forensics -
    S A M S T O V E R A N D M AT T D I C K E R S O N. using memory. dumps in digital. forensics. Stover is an independent security researcher with
    www.sagecertification.org/publications/login/2005-12/pdfs/stover.pdf

  • State Leads Teacher Training in Digital Forensics -
    State Leads Teacher Training in Digital Forensics. http://www.okcareertech.org/expressions/2005/fall05/headlines/digital_f 1 of 1. 9/29/2005 11:27 AM
    www.cseconline.org/Press/State%20Leads%20Teacher%20Training%20in%20Digital%20Forensics.pdf

  • Using Digital Forensics to Maintain the Integrity of our Nation’s -
    8/2/2005 / 9:00 AM. Summer Interns. Center fCyber Defenders. Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin
    acm.cs.umr.edu/~security/articles/CCDSandia/SCADA_Forn_2005_Symp.pdf

  • Digital Forensics -
    1. Digital Forensics. Jason Trent. Laura Woodard. March 9, 2006. Outline. • What is Digital. Forensics. • Who uses it. • Why is it used. • Where is it used
    acm.cs.umr.edu/~security/slides/sigsec_03_09_2006.pdf

  • cybercrime and digital forensics.tif -
    Page 1. Page 2. Page 3.
    www.spokane.wsu.edu/research&service/wricops/documents/cybercrime%20and%20digital%20forensics.pdf

  • MU - Digital Forensics br#D4656 -
    More information. > Graduate Certificate in. Digital Forensics. FFURTHER INFORMATION PLEASE CONTACT. General enquiries. Natalie Dunham. Project Manager
    www.soe.unimelb.edu.au/Assets/ContentFiles/243/Digital%20Forensics%20Grad%20Cert%20brochure.pdf

  • First Annual Workshop on Digital Forensics and Incident Analysis -
    First Annual Workshop on Digital Forensics and. Incident Analysis (WDFIA 2006). Hosted at the. Second European Conference on Computer Network Defence
    www.comp.glam.ac.uk/staff/ttryfona/WDFIA2006CfP.pdf

  • XIRAF — an XML IR Approach to digital Forensics -
    XIRAF — an XML IR Approach to digital Forensics. Wouter Alink. master student. University of Twente / CWI. Abstract. An interesting field in Information
    wwwhome.cs.utwente.nl/~bunninge/dbdbd05/wouteralink.pdf

  • Microsoft PowerPoint - LayerOne.Digital Forensics.Dist.ppt -
    1. Digital Forensics. Introduction to Digital Forensics. Procedure, Tools, and Techniques. An organizational approach … LayerOne ’06. Pasadena, CA
    layerone.info/2006/presentations/Digital_Forensics-LayerOne-Andrew_Immerman.pdf

  • The Role of Digital Forensics within a Corporate Organization -
    Bruce J. Nikkel. IT Investigation & Forensics. Risk Control, UBS AG. The Role of Digital Forensics. within a Corporate. Organization
    digitalforensics.ch/nikkel06a.pdf

  • Digital Forensics using Linux and Open Source Tools -
    Overview/Goals of Seminar. • Provide a high level overview of forensic and. investigative tools available fLinux. • Present advantages and disadvantages
    digitalforensics.ch/nikkel05b.pdf

  • Digital Forensics Contents -
    Digital Forensics. Contents. 1 Digital Forensics. 2 SpheroCamHDR. 3 OneClick-Box. 4 Measurement Application. 5 R2S. TM. Software. 6 Applications
    www.ats-acs.co.il/pdf/spheron.pdf

  • Building on Basis fMultilingual Digital Forensics By Mark Terry -
    Building on Basis fMultilingual Digital Forensics. By Mark Terry - May 2006 Issue, Posted May 16, 2006. http://www.econtentmag.com/?ArticleID=15478
    www.markterrybooks.com/writings/digital_forensics.pdf

  • Computer Information Systems Digital Forensics Certificate -
    Computer Information Systems. Digital Forensics Certificate. Program Requirements. 2006-2007. Student Name. Student ID. Program Description:
    requirements.edcc.edu/current/506h.pdf

  • Statistical Tools fDigital Forensics -
    Statistical Tools fDigital Forensics. Alin C. Popescu and Hany Farid. Department of Computer Science at Dartmouth College. Abstract.
    www.ists.dartmouth.edu/library/std0504.pdf

  • Higher-order Wavelet Statistics and their Application to Digital -
    In: IEEE Workshop on Statistical Analysis in Computer Vision (in conjunction with CVPR), 2003. Higher-order Wavelet Statistics and their Application to
    www.ists.dartmouth.edu/library/hws0203.pdf

  • Association of Digital Forensics, Security and Law Author's -
    Association of Digital Forensics, Security and Law. 1642 Horsepen Hills Road - Maidens, Virginia 23102 - USA. Fax: +1 804.680.3038
    www.jdfsl.org/CopyrightTransfer.pdf

  • Digital Forensic References Digital Forensics -
    This document is distributed without profit payment and is intended fnon-profit research and educational purposes. The referenced material does not
    people.bu.edu/burrell/resref0312.pdf

  • Global Digital Forensics Case Study Drug Diversion -
    Toll Free: 1-800-868-8189. Int. Phone: Phone 727-287-6000. http://www.evestigate.com. © 2006 Global Digital Forensics. All rights reserved.
    www.evestigate.com/Case_Studies/Case%20Study%20Prescription%20Drug%20Diversion%20Brand%20Protection.pdf

  • Global Digital Forensics Global Digital Forensics -
    Global Digital Forensics. Case Study – Digital Forensics/Regulatory. Case Type – Insurance Industry Regulation. Environment – Complex Mainframe, Desktop,
    www.evestigate.com/Case_Studies/regulatoryfraudcasestudy1.pdf

  • Incident Response and Digital Forensics Workshop -
    About the course. Course Outline. Who should attend? Incident Response and Digital. Forensics Workshop. The term cyber-crime no longer refers only to
    www.niiconsulting.com/training/Forensics_Workshop.pdf

  • Incident Response and Digital Forensics / SERVICES -
    Incident Response and Digital Forensics / SERVICES. INCIDENT RESPONSE. AND. DIGITAL FORENSICS SERVICES. – Incident Response and Analysis
    www.fishnetsecurity.com/Sites/com.fishnetsecurity/Downloads/fns_irdf.pdf

  • Digital Forensics -
    Digital Forensics. Collecting. Preserving. Analyzing. Reconstructing. Evidence from a Crime. Where a computer was used. Digging Deep fClues.
    www.seoulcc.org/meetings/past_meetings/dig_for.pdf

  • XIRAF: An XML-IR Approach to Digital Forensics -
    XIRAF: An XML-IR Approach. to Digital Forensics. W. Alink. October 21, 2005. Database Group. Faculty Electrical Engineering, Mathematics, and Computer
    pathfinder-xquery.org/files/alink.pdf

  • Computer & Digital Forensics -
    Forensics is the application of science. and technology to civil and criminal legal. investigations. While most forensics pro-
    digitalforensics.champlain.edu/CC_Digital_Forensics.pdf

  • Computer & Digital Forensics Bachelors Degree 2006-2007 Catalog -
    Computer & Digital Forensics Bachelors Degree. 2006-2007 Catalog. FIRST YEAR. First Semester. Cr. Hrs Prereqs. CAP 121. Research Using Internet & Online
    digitalforensics.champlain.edu/advising/C&DF_2006.pdf

  • Countering Digital Forensics -
    Countering Digital Forensics. An Identity Based Ephemerizer Cryptosystem. Srijith K. Nair. 1. , Chandana Gamage. 1. , Mohammad Torabi Dasti
    www.few.vu.nl/~srijith/publications/techreports/tech-report-IR-CS-024.pdf

  • Low-intrusive consistent disk checkpointing: a tool fdigital
    Low-Intrusive Consistent Disk Checkpointing: A Tool fDigital Forensics. £. Sriranjani Sitaraman and S. Venkatesan. Digital Forensics and Emergency
    ieeexplore.ieee.org/iel5/9035/28682/01286490.pdf

  • Cyber-Criminology and Digital Forensics Initiative -
    Cyber-Criminology and Digital Forensics Initiative. October Conference 2006. October 25-26 2006. Mirabeau Park Hotel, Spokane Valley, WA
    capps.wsu.edu/conferences/cybercrime/Agenda.pdf

  • Cybercrime and Digital Forensics Conference -
    Cybercrime and Digital Forensics Conference. EXHIBITBOOTH ASSIGNMENT FORM. October 25-26, 2004. Mirabeau Park Hotel. ***Return this form ASAP to get your
    capps.wsu.edu/conferences/cybercrime/Exhibitor_Packet.pdf

  • The Design of an Undergraduate Degree Program in Computer -
    1. The Design of an Undergraduate Degree Program in. Computer & Digital Forensics. Gary C. Kessler. Champlain College. 163 So. Willard Street
    www.garykessler.net/library/C&DF_curriculum.pdf

  • Chapter 3 Concepts of digital forensics -
    Chapter 3. Concepts of digital forensics. Digital forensics is a branch of forensic science concerned with the use of digital
    www.gladyshev.info/publications/thesis/chapter3.pdf

  • The Advent of Trusted Computing: Implications fDigital Forensics -
    The Advent of Trusted Computing:. Implications fDigital Forensics. Mike Burmester. Department of Computer Science. Florida State University
    www.cs.fsu.edu/~burmeste/tc.pdf

  • John S – Digital Forensics Capability Overview
    John S – Digital Forensics Capability Overview. Summary. John S serves as the DirectfMile2’s computer forensics business unit. A pioneer in the
    www.mile2.com/John_Sg.pdf

  • AmericA’s Premier DigitAl Forensics lAborAtory network -
    To learn more about the RCFL Program,. go to www.rcfl.gov. Mailing Address:. Engineering Research Facility. Building 27958-A. Quantico, VA 22135
    www.rcfl.gov/downloads/documents/NPO%20Brochure.pdf

  • Homeland Security : Digital Security and Forensics Min-
    Translation Error. Macintosh HD:Users:studentimac:Documents:FSU Catalog Project 2003:Template:images:sigline.eps. C O L L E G E. O F. E D U C A T I O N
    catalog.ferris.edu/programsheets/Education/Homeland%20Security.pdf

  • Legal Aspects of Digital Forensics -
    Legal Aspects of Digital Forensics. Daniel J. Ryan. The George Washington University. Washington, D. C. danjryan@gwu.edu. Gal Shpantzer
    www.iacwcu.com/documents/Legal%20Issues.pdf

  • Low-Intrusive Consistent Disk Checkpointing: A Tool fDigital -
    Low-Intrusive Consistent Disk Checkpointing: A Tool fDigital Forensics. Sriranjani Sitaraman and S. Venkatesan. Digital Forensics and Emergency
    utdallas.edu/~sxs018540/index/docs/chkpt_itcc04.pdf

  • Low-Intrusive Consistent Disk Checkpointing: A Tool fDigital -
    Low-Intrusive Consistent Disk Checkpointing: A Tool fDigital. Forensics. 1. Sriranjani Sitaraman. (Department of Computer Science
    www.utdallas.edu/~venky/pubs/jucs_disk_chkp.pdf

  • CSC 570 A Digital Forensics I FTeachers -
    CSC 523 A Computer Forensics I FTeachers 3 Credit Hrs. Description: This course deals with the preservation, identification, acquisition,
    www.uis.edu/~mims/workingconnections/CSC%20523%20A%20Computer%20Forensics%20I%20For%20Teachers.pdf

  • Partner in America’s Premier Digital Forensics Laboratory Network -
    Partner in America’s. Premier Digital Forensics. Laboratory Network. Contact Information. San Diego RCFL. 9797 Aero Drive. San Diego, CA 92123
    www.rcfl.org/downloads/documents/RCFL_SanDiego_broS.pdf

  • Higher-order Wavelet Statistics and their Application to Digital -
    Higher-order Wavelet Statistics and their Application to Digital Forensics. Hany Farid. †. and Siwei Lyu. Abstract. We describe a statistical model f
    www.cse.lehigh.edu/~rjm2/SACV/papers/farid-lyu.pdf

  • Digital Evidence and Computercrime Digital Forensics (1) -
    1. Digital Evidence and Computercrime. Albert Koeleman. Digital Forensics (1). • Digital Traces. computer systems, storage, networks, internet,
    www.iafs2005.com/summit/Summit%201_3_KOELEMAN,%20A.pdf

  • Digital Forensics -
    4/19/2004. Module 10. 2. Outline of Module #10. Review MidTerm exam. Legal update. Suni Munshani. Howard Carmack. EnCase workshop
    isis.poly.edu/courses/cs996-forensics/Lectures/forensics_module10.pdf

  • Digital Forensics -
    2/02/2004. Module 2- Investigating Email. 2. Review from Module #1. Forensics: Investigation in support of. litigation. Proactive vs. Reactive
    isis.poly.edu/courses/cs996-forensics/Lectures/forensics_module2.pdf

  • Digital Forensics: A Demonstration of the Effectiveness of The -
    Digital Forensics:. A Demonstration of the Effectiveness of. The Sleuth Kit and Autopsy Forensic. Browser. Anthony Dowling
    eprints.otago.ac.nz/357/01/DowlingAcombOcr.pdf

  • E9B-779 Digital Forensics Learning Objects - Matt Rose - SAET -
    Page 1. E9B-779 Digital Forensics Learning Objects - Matt Rose - SAET.
    www.cerias.purdue.edu/symposium/2006/materials/pdfs/E9B-779.pdf

  • ISO 27001 as a Support to Digital Forensics
    Journal of Digital Forensic Practice, 1:43–46, 2006. Copyright © Tayl& Francis Group, LLC. ISSN: 1556-7281 print / 1556-7346 online
    taylorandfrancis.metapress.com/index/Q17W1X8PK26M1474.pdf

  • Open Source Digital Forensics Tools: The Legal Argument -
    OCTOBER 2002. Open Source Digital Forensics Tools:. The Legal Argument. This paper addresses digital forensic analysis tools and their
    packetstormsecurity.org/papers/IDS/atstake_opensource_forensics.pdf

  • Microsoft PowerPoint - BCS Digital Forensics - Kent - BCS Copy.ppt -
    Outline. • Welcome from the Computer Crime Unit. • Background to Digital Forensics. • Stages of a forensic examination. • Best practice principles
    www.kent.bcs.org/BCS%20Digital%20Forensics%20-%20Kent%20-%20BCS%20Copy.pdf

  • Design of a Digital Forensics Image Mining System -
    Design of a Digital Forensics Image Mining System. R. Brown. 1. , B. Pham. 1. and O. de Vel. 2. 1. Faculty of Information Technology,
    eprints.qut.edu.au/archive/00002274/01/2274.pdf

  • Offering a Digital Forensics Course in Anchorage, Alaska -
    Desai, Fitzgerald, and Hoanca. Absentee. Offering a Digital Forensics Course in. Anchorage, Alaska. Alpana M. Desai. afamd@uaa.alaska.edu. David Fitzgerald
    isedj.org/isecon/2006/5114/ISECON.2006.Desai.pdf

  • Digital Forensics Rules & procedures.ppt
    1. CE00397-3. Forensic Data Gathering,. Reconstruction and Analysis. R. Shaw. r.shaw@staffs.ac.uk. K235. Digital Forensics. Rules and procedures
    www.fcet.staffs.ac.uk//Semester%201/Level%203/Digital%20Forensics%20Rules%20&%20procedures.pdf

  • Stand-off XML Databases in Digital Forensics -
    ANDSFOR. ENSICINS. TITUTE. University of Amsterdam – October 11, 2006. Stand-off XML Databases. in Digital Forensics. University of Amsterdam - October 11,
    www.cwi.nl/~mk/onderwijs/adt2006/lectures/ADT_XIRAF.pdf

  • LNCS 3975 - An Embedded Bayesian Network Hidden Markov Model f -
    S. Mehrotra et al. (Eds.): ISI 2006, LNCS 3975, pp. 459–465, 2006. © Springer-Verlag Berlin Heidelberg 2006. An Embedded Bayesian Network Hidden Markov
    sml.nicta.com.au/Publications/homepublications/publications/papers/2006/DeVLiuCaeCae06.pdf

  • The Practice of Digital Forensics -
    Security Methods and Practice. CET-4884. Syllabus. Course Description:. This course will provide students with an understanding of the principles of
    www.ent.ucf.edu/courses/fall06/cet4884/syllabus/SecMethPracSyl.pdf

  • CERIAS Tech Report 2005-27 DIGITAL MUSIC DEVICE FORENSICS by -
    CERIAS Tech Report 2005-27. DIGITAL MUSIC DEVICE FORENSICS. by Christopher V. Marsico. Center fEducation and Research in
    https://www.cerias.purdue.edu/tools_and_resources/bibtex_archive/archive/2005-27.pdf

  • COMPONENT FORENSICS OF DIGITAL CAMERAS: A NON-INTRUSIVE APPROACH -
    COMPONENT FORENSICS OF DIGITAL CAMERAS: A NON-INTRUSIVE APPROACH. Ashwin Swaminathan, Min Wu and K. J. Ray Liu. Electrical and Computer Engineering
    www.ece.umd.edu/~minwu/public_paper/Conf06/0603component_ciss06.pdf

  • What is Computer Forensics? The Digital Technology Laboratory is -
    What is Computer Forensics? Computer Forensics is the process of. identifying, preserving, extracting and. producing electronic evidence (including
    www.t3i.com/documents/newsletter.pdf

  • Digital Evidence & Computer Forensics -
    Digital Evidence & Computer Forensics. David Nardoni CISSP, EnCE. President. First Response Consulting Service, Inc. dnardoni@firstresponseconsulting.com
    www-scf.usc.edu/~uscsec/images/DigitalEvidence&ComputerForensicsversion1.2USC.pdf

  • Digital Imaging Workflow fForensics Digital Imaging Workflow -
    Digital Imaging. Workflow for. Forensics. Digital Imaging. Workflow for. Forensics. Forensic Science and Crime Lab Applications
    www.paxit.com/paxit/crime_lab/imgs/forensics.pdf

  • Remote sensing tools assist in environmental forensics: Part II
    Remote Sensing Tools Assist in Environmental Forensics:. Part IIÐDigital Tools. G. M. Brilis. National Exposure Research Laboratory, U.S. Environmental
    www.epa.gov/esd/gqc/pdf/RS%20Pt2.pdf

  • Practical Strategies fDigital Discovery: Preliminary -
    Most business. documents are now. produced in digital. form. Consequently,. when disputes arise,. litigators will often. require the discovery
    www.dataforensics.com/newsletters/nl_feb03.pdf

  • Practical Strategies fDigital Discovery: Evidentiary -
    In part one of this. two-part story (pub-. lished in the Febru-. ary issue of The. Digital Discoverer). the authdiscussed. digital discovery is-
    www.dataforensics.com/newsletters/nl_may03.pdf

  • Small Scale Digital Device Forensics Journal -
    Small Scale Digital Device Forensics Journal. Purdue University College of Technology - Cyber Forensic Lab. 401 N. Grant Street, West Lafayette,
    www.ssddfj.org/copyrighttransferform.pdf

  • A Framework fDigital Image Forensics -
    A Classifier Design FDetecting Image Manipulations. Ismail Avcibas, Sevinc Bayram, Nasir Memon, Mahalingam Ramkumar, Bulent Sankur
    www.busim.ee.boun.edu.tr/~sankur/SankurFolder/ICIP_2004_cr2648125385722.pdf

  • I.T. FORENSICS: THE COLLECTION AND PRESENTATION OF DIGITAL EVIDENCE -
    I.T. FORENSICS: THE COLLECTION AND. PRESENTATION OF DIGITAL EVIDENCE. Author:. Johann Hershensohn. Address:. Block D, 204 Rivonia Drive, Morningside,
    icsa.cs.up.ac.za/issa/2005/Proceedings/Full/076_Article.pdf

  • Incident Response and Digital Forensics -
    101010111101010101011010110101000001011101010101001010010010101010101010100011010101111111001. © Sph3r3, LLC. 2004 All Rights Reserved. www.sph3r3.com
    www.sph3r3.com/presentations/Incident_Response_and_Digital_Forensics.pdf

  • Statistical Tools fDigital Forensics -
    Henry Chang-Yu Lee. • One of the world’s foremost forensic. scientists. • Chief Emeritus fScientific Services. fthe State of Connecticut.
    www.cmlab.csie.ntu.edu.tw//lecture/Lecture15%20-%20Statistical%20Tools%20for%20Digital%20Forensics.pdf



    INTRUSION DETECTION ARTICLES, PAPERS and PRESENTATIONS
    - The Big List.


  • Also be sure to check out our comprehensive Intrusion Detection Section - Click Here




  • An Overview of Issues in Testing Intrusion Detection Systems
    Evaluating Intrusion Detection Systems without Attacking your. Friends: The 1998 DARPA Intrusion Detection Evaluation. R. K. Cunningham, R. P. Lippmann,
    www.simson.net/clips/academic/1998.Evaluating_IDs_DARPA.pdf

  • Application Layer Intrusion Detection fSQL Injection
    Application Layer Intrusion Detection fSQL Injection. Frank S. Rietta. 10630 Greenock Way. Duluth, Georgia 30097. frank@rietta.com. ABSTRACT
    www.rietta.com/papers/rietta_acmse2006.pdf

  • Lightweight agents fintrusion detection
    Lightweight agents fintrusion detection. q. Guy Helmer, Johnny S.K. Wong. *. , Vasant Honavar, Les Miller, Yanxin Wang. Department of Computer Science,
    www.cs.iastate.edu/~honavar/Papers/jss-lightweight.pdf

  • Centralized Intrusion Detection with SAMHAIN
    Centralized Intrusion Detection. with SAMHAIN. Rainer Wichmann. rwichmann@la-samhna.de. samhain labs. Centralized Intrusion Detection with Samhain – p.1
    www.la-samhna.de/samhain/Samhain.pdf

  • Secure “Selecticast” fCollaborative Intrusion Detection Systems
    Secure “Selecticast” fCollaborative Intrusion Detection Systems. Philip Gross, Janak Parekh and Gail Kaiser. Columbia University. Programming Systems Lab
    www-serl.cs.colorado.edu/~carzanig/debs04/debs04gross.pdf

  • Real World Intrusion Detection
    1. Real World Intrusion Detection. Copyright 1999 SystemExperts Corporation. All Rights Reserved. Real World Intrusion. Detection
    www.baylisa.org/library/slides/2001/baylisa-may01.pdf

  • Intrusion Detection Intrusion Detection
    1. Intrusion Detection. Intrusion Detection. Dr. James Riordan. Dr. James Riordan. Global Security Analysis Lab. Global Security Analysis Lab
    www.cnec.org/CONFERENCES/cnec10/praesentationen/riordan.pdf

  • An Intelligent Decision Support System fIntrusion Detection and
    V.I. Gorodetski et al. (Eds.): MMM-ACNS 2001, LNCS 2052, pp. 1-14, 2001. © Springer-Verlag Berlin Heidelberg 2001. An Intelligent Decision Support System
    issrl.cs.memphis.edu/papers/issrl/2001/MMM-sub.pdf

  • A LANGUAGE DRIVEN INTRUSION DETECTION SYSTEM FEVENT AND ALERT
    A LANGUAGE DRIVEN INTRUSION. DETECTION SYSTEM FEVENT. AND ALERT CORRELATION. Eric Totel, Bernard Vivinis, Ludovic Me. Eric.Totel@supelec.fr, Bernard.
    www.rennes.supelec.fr/ren/rd/ssir/publis/tvm04.pdf

  • Policy-controlled Event Management fDistributed Intrusion Detection
    Policy-controlled Event Management fDistributed Intrusion Detection. Christian Kreibich. University of Cambridge. Computer Laboratory
    www.cl.cam.ac.uk/~cpk25/publications/bro-events-debs2005.pdf

  • Recent Advances in Intrusion Detection 2006 Ninth International
    Recent Advances in Intrusion Detection 2006. Ninth International Symposium. "Big Challenges, Big Ideas". September 20-22, 2006
    www.raid06.tu-harburg.de/2006-RAID-CFP.pdf

  • Intrusion Detection Using EtherPeek NX and EtherPeek
    Intrusion Detection Using EtherPeek NX and EtherPeek. Page 1. A WildPackets Academy Tutorial. Intrusion Detection Using EtherPeek NX and EtherPeek. Contents
    www.total-network-visibility.com/wildpackets/pdfs/Intrusion_Detection.pdf

  • TCRP Report 86: Volume 4 -- Intrusion Detection fPublic
    TCRP. REPORT 86. Public Transportation Security. Volume 4. Intrusion Detection. fPublic Transportation. Facilities Handbook. TRANSIT. COOPERA
    transit-safety.volpe.dot.gov//3B%20--%20Security%20Design%20Criteria/Essential/tcrp_rpt_86v4.pdf

  • Intrusion Detection and Prevention
    Intrusion Detection and Prevention. Protecting Your Network From Attacks. A White Paper By. NetScreen Technologies Inc. http://www.netscreen.com
    www.sss.co.nz/pdfs/netscreen/netscreen_intrusion_detection_prevention.pdf

  • Microsoft PowerPoint - Intrusion detection in VANETs Sevecom 2.ppt
    Secure Vehicle Communication. Intrusion Detection in VANETs. Elmar Schoch ▪ elmar.schoch@uni-ulm.de. SEVECOM Workshop ▪ June 27th, 2006 ▪ Paris
    www.sevecom.org/Presentations/2006-06_Paris/Sevecom_2006-06-26_L%20Vanet-Ids%20Schoch.pdf

  • Concepts fV2X Intrusion Detection Systems
    Overview. Motivation. Intrusion Detection fV2X communication. Active Safety Applications. Position Dependent Routing. Concepts
    www.sevecom.org/Presentations/2006-02_Lausanne/Sevecom_2006-02-02_P%20Intrusion%20detection.pdf

  • Preliminary Call fPapers Recent Advances in Intrusion Detection
    Preliminary Call fPapers. Recent Advances in Intrusion Detection 2007. 10th International Symposium. September 5-7, 2007. Crowne Plaza, Gold Coast,
    www.isi.qut.edu.au/events/conferences/raid07/cfp/PreliminaryCFP.RAID07.pdf

  • Data Mining fNetwork Intrusion Detection: How to Get Started
    Data Mining fNetwork Intrusion Detection: How to Get Started. Eric Bloedorn, Alan D. Christiansen, William Hill,. Clement Skorupka, Lisa M. Talbot,
    www.mitre.org/work/tech_papers/tech_papers_01/bloedorn_datamining/bloedorn_datamining.pdf

  • A Statistical Framework fIntrusion Detection in Ad Hoc Networks
    A Statistical Framework fIntrusion Detection in. Ad Hoc Networks. Dhanant Subhadrabandhu, Saswati Sarkar, Farooq Anjum. Abstract— We focus on detecting
    www.seas.upenn.edu/~swati/infocom06_security.pdf

  • Applying Data Mining to Intrusion Detection: the Quest f
    Applying Data Mining to Intrusion Detection: the Quest for. Automation, Efficiency, and Credibility. Wenke Lee. College of Computing
    www.acm.org/sigs/sigkdd/explorations/issue4-2/lee.pdf

  • Towards a High-speed Router-based Anomaly/Intrusion Detection System
    1. Towards a High-speed Router-based. Anomaly/Intrusion Detection System. Zhichun Li, Yan Gao, Yan Chen. Northwestern University
    www.acm.org/sigs/sigcomm/sigcomm2005/poster-121.pdf

  • Using an Intrusion Detection Alert Similarity Operatto
    Using an Intrusion Detection Alert Similarity. Operatto Aggregate and Fuse Alerts. Fabien Autrel et Frederic Cuppens. GET-ENST-Bretagne, 35576 Cesson
    www-lor.int-evry.fr/sar05/Contributions/Papers/9-autrel.pdf

  • Managed Intrusion Detection and Prevention Service (IDS/IPS)
    Managed Intrusion Detection and Prevention Service (IDS/IPS). Internet security is now a critical factin IT performance, impacting everything from
    documents.iss.net/literature/mss/IDS_datasheet.pdf

  • Network- vs. Host-based Intrusion Detection
    Network- vs. Host-based Intrusion Detection. A Guide to Intrusion Detection Technology. 6600 Peachtree-Dunwoody Road. 300 Embassy Row. Atlanta, GA 30348
    documents.iss.net/whitepapers/nvh_ids.pdf

  • A Visualization Paradigm fNetwork Intrusion Detection
    Proceedings of the 2005 IEEE. Workshop on Information Assurance and Security. United States Military Academy, West Point, NY, 17–19 June 2005
    www.cs.utah.edu/~draperg/research/IAS05.pdf

  • INTRUSION DETECTION SYSTEMS USING ADAPTIVE REGRESSION SPLINES
    INTRUSION DETECTION SYSTEMS. USING ADAPTIVE REGRESSION SPLINES. Srinivas Mukkamala, Andrew H. Sung. Department of Computer Science, New Mexico Tech,
    www.salford-systems.com/doc/ICEIS-final.pdf

  • Feature deduction and ensemble design of intrusion detection systems
    Feature deduction and ensemble. design of intrusion detection systems. Srilatha Chebrolu. a. , Ajith Abraham. a,b,. *, Johnson P. Thomas
    www.salford-systems.com/doc/srilatha-cos-final.pdf

  • Stateful Intrusion Detection fHigh-Speed Networks
    Stateful Intrusion Detection fHigh-Speed Networks. Christopher Kruegel. Fredrik Valeur. Giovanni Vigna. Richard Kemmerer. Reliable Software Group
    www.cs.ucsb.edu/~vigna/ids/2002_kruegel_valeur_vigna_kemmerer_secpriv02.pdf

  • Testing Network-based Intrusion Detection Signatures Using Mutant
    Testing Network-based Intrusion Detection Signatures. Using Mutant Exploits. Giovanni Vigna. vigna@cs.ucsb.edu. William Robertson. wkr@cs.ucsb.edu
    www.cs.ucsb.edu/~vigna/ids/2004_vigna_robertson_balzarotti_CCS04.pdf

  • Page 1 Wireless Intrusion Detection Joshua Lackey, Ph.D. lackeyj
    Page 1. Wireless Intrusion Detection. Joshua Lackey, Ph.D. lackeyj@us.ibm.com. Andrew Roths. ajroths@us.ibm.com. James Goddard, CISSP. goddardj@us.ibm.com
    www-935.ibm.com/services/us/bcrs/pdf/wp_wireless-intrusion-detection.pdf

  • Intrusion Detection Services
    IBM Security and Privacy Services. Intrusion Detection Services. Helping prevent and detect. unauthorized activities. Your Web page has been altered,
    www-935.ibm.com/services/us/bcrs/pdf/br_intrusion-detection.pdf

  • Efficient Context-Sensitive Intrusion Detection
    Efficient Context-Sensitive Intrusion Detection. Jonathon T. Giffin. Somesh Jha. Barton P. Miller. Computer Sciences Department
    www.isoc.org/isoc/conferences/ndss/04/proceedings/Papers/Giffin.pdf

  • Dragon 7 Network Intrusion Detection and Prevention
    Page 1 of 6 • Data Sheet. Dragon. ®. 7 Network Intrusion Detection. and Prevention. •. Stealth Network Intrusion Prevention appliances that stop
    www.enterasys.com/products/ids/DSNSS7/DSNSS7.pdf

  • Immune System Approaches to Intrusion Detection - A Review
    Immune System Approaches to. Intrusion Detection - A Review. Uwe Aickelin, Julie Greensmith, Jamie Twycross. School of Computer Science, University of
    www.cs.nott.ac.uk/~uxa/papers/04icaris_ids_review.pdf

  • A Declarative Approach to Stateful Intrusion Detection and Network
    A Declarative Approach to Stateful Intrusion. Detection and Network Monitoring. M. Couture, B. Ktari and M. Mejri. Departement d’informatique et de genie
    dev.hil.unb.ca/Texts/PST/pdf/couture.pdf

  • CUMBERLAND COUNTY REQUEST FPROPOSALS MANAGED INTRUSION
    1. CUMBERLAND COUNTY. REQUEST FPROPOSALS. MANAGED INTRUSION DETECTION SERVICES FOR. CUMBERLAND COUNTY GOVERNMENT. The County of Cumberland,
    www.ccpa.net/cumberland/lib/cumberland/rfp_bids/RFP_Managed_Intrusion_Detection_Services.pdf

  • Using sFlow and InMon Traffic Server fIntrusion Detection and
    INMON CORP. 1404 IRVING ST., SAN FRANCISCO, CA 94122. WWW.INMON.COM. COPYRIGHT 2001 INMON CORP. ALL RIGHTS RESERVED. Using sFlow and InMon Traffic Server
    www.inmon.com/pdf/sFlowSecurity.pdf

  • Fuzzy Intrusion Detection
    Fuzzy Intrusion Detection. John E. Dickerson, Jukka Juslin, Ourania Koukousoula, Julie A. Dickerson. Electrical and Computer Engineering Department
    home.eng.iastate.edu/~julied/publications/NAFIPS2001-%20Fuzzy%20Intrusion%20Detection,%20v6.pdf

  • Fuzzy Network Profiling fIntrusion Detection
    Fuzzy Network Profiling fIntrusion Detection. John E. Dickerson (jedicker@iastate.edu) and Julie A. Dickerson (julied@iastate.edu)
    home.eng.iastate.edu/~julied/publications/NAFIPSpaper2000.pdf

  • Real World Intrusion Detection
    1. Real W. o. r. l. d I. n. t. r. usion Det. e. ct. ion. Copyright 1999 SystemExperts Corporation. All Rights Reserved. Real World Intrusion. Detection
    www.systemexperts.com/tutors/rwid.pdf

  • 1 Evolving Intrusion Detection Systems
    1. Evolving Intrusion Detection Systems. Ajith Abraham. 1. and Crina Grosan. 2. 1. School of Computer Science and Engineering, Chung-Ang University, 221,
    www.cs.ubbcluj.ro/~cgrosan/ids-chapter.pdf

  • Towards Anomaly/Intrusion Detection and Mitigation on High-Speed
    1. Towards Anomaly/Intrusion. Detection and Mitigation on. High-Speed Networks. Yan Gao, Zhichun Li, Yan Chen. Northwestern Lab fInternet and Security
    www.usenix.org/events/sec05/wips/chen.pdf

  • Cisco IOS Firewall Intrusion Detection System
    Cisco Systems, Inc. All contents are Copyright © 1992–2002 Cisco Systems, Inc. All rights reserved. Important Notices and Privacy Statement. Page 1 of 7
    newsroom.cisco.com/dlls/IOSIDSDS.pdf

  • Hardware Network Intrusion Detection
    1. Hardware Network Intrusion Detection. Chia-Tien Dan Lo. Department of Computer Science. University of Texas at San Antonio
    www.cs.utsa.edu/~danlo/talk/2006/hNIDS.pdf

  • Data Mining Methods fNetwork Intrusion Detection
    Data Mining Methods fNetwork Intrusion. Detection. S TERRY BRUGGER. University of California, Davis. June 9, 2004
    www.bruggerink.com/~zow/papers/brugger_dmnid.pdf

  • Hidden Processes: The Implication fIntrusion Detection
    Agenda. • Introduction to Rootkits. • Where to Hook. • VICE detection. • Direct Kernel Object Manipulation. (DKOM). – No hooking required!
    www.blackhat.com/presentations/bh-usa-04/bh-us-04-butler/bh-us-04-butler.pdf

  • Visualisation fIntrusion Detection
    Visualisation fIntrusion Detection. Hooking the Worm. Stefan Axelsson. Department of Computer Science. Chalmers University of Technology
    www.cs.chalmers.se/~sax/pub/worm-web-vis.pdf

  • Intrusion Detection Systems (IDS) and Intrusion Prevention Systems
    Technology Assessment Services (TAS): Product Evaluation Guide. Intrusion Detection Systems (IDS) and. Intrusion Prevention Systems (IPS). Overview
    www.softwarespectrum.com/business/pdf/4413_TAS_IDS_IPS.pdf

  • Dominant and Deviant Pattern Detection in Event Traces f
    1 of 14. Dominant and Deviant Pattern Detection. in Event Traces fIntrusion Detection. Ananth Grama. CERIAS and Department of Computer Sciences
    www.cerias.purdue.edu/symposium/2001/talks/tlk_07.pdf

  • Intrusion Detection Evolution at TriMet
    11. Intrusion Detection Origins. • CCTV on Westside Project. • Video on Trains and Busses. • Access Control System. Page 12. 12. Intrusion Detection Origins
    www.tisp.org/files/isbe2004/panel_5b/swiecick.pdf

  • An Introduction to Intrusion-Detection Systems
    An Introduction to Intrusion-Detection Systems. Herve Debar. IBM Research, Zurich Research Laboratory,. Saumerstrasse 4, CH–8803 Ruschlikon, Switzerland
    perso.rd.francetelecom.fr/debar/papers/Debar00a.pdf

  • Intrusion Detection and Response in LOCKSS
    Intrusion Detection and. Response in LOCKSS. Rachel Greenstadt. greenie@eecs.harvard.edu. Harvard University. Advisors: HT Kung and Mike Smith
    www.eecs.harvard.edu/~greenie/qual-slides.pdf

  • Protocol Analysis in Intrusion Detection Using Decision Tree
    Protocol Analysis in Intrusion Detection Using Decision Tree. Tarek Abbes. LORIA/INRIA-Lorraine. 54602 Villers-lès-Nancy,. France. abbes@loria.fr
    www.loria.fr/~abbes/index_files/files/abbes_f_itcc.pdf

  • Towards a Grid-wide Intrusion Detection System
    Towards a Grid-wide Intrusion Detection System. Stuart Kenny and Brian Coghlan. {stuart.kenny, coghlan}@cs.tcd.ie. Trinity College Dublin, Ireland
    https://www.cs.tcd.ie/coghlan/pubs/egc05-snort-santag.pdf

  • COURSE Cisco Secure Intrusion Detection Systems v3.0 CONTENT WHO
    INTECOM, S.A. - www.intelcom.co.ma / info-training@intelcom.co.ma. Information sur le cursus: +212 (0)37 68 79 54. COURSE. Cisco Secure Intrusion Detection
    www.intelcom.co.ma/catalogues/TRN-CSIDS.pdf

  • Real-Time Intrusion Detection and Prevention fthe Mainframe
    WWW.BMC.COM/SECURITY. How for. Real-Time Intrusion Detection and. Prevention fthe Mainframe*. ZAlert™ fCONTROL-SA by Consul
    www.bmc.com/products/documents/90/41/49041/49041.pdf

  • Intrusion Detection Systems
    1. Intrusion Detection. Systems. 2. Roadmap. Understanding Intrusion Detection. Intrusion Detection Systems Architecture
    www.iaik.tugraz.at//ss2005/vo10/Intrusion%20Detection%20Systems%20(2)HZ.pdf

  • IBM Wireless Intrusion Detection Extensions
    Security vulnerabilities:. The worry of wireless. It’s no wonder that wireless networks. have become increasingly pervasive. in both the public and private
    www-03.ibm.com/industries/wireless/doc/content/bin/ibmwide.pdf

  • Intrusion Detection Systems at Work
    August 23, 2004 b Issue 34. ECM Bigwigs Work. to Retain Records. p18. JON UDELL. Social Networks. Wise Up. p36. i. INFOWORLD.COM. TEST CENTER REVIEW
    www.infoworld.com/pdf/special_report/2004/34SRinspect.pdf

  • Wireless Intrusion Detection and Response
    Wireless Intrusion Detection and Response. A case study using the classic man-in-the-middle attack. Timothy R. Schmoyer, Yu Xi Lim and Henry L. Owen
    users.ece.gatech.edu/~owen/Research/Conference%20Publications/Schmoyer_WCNC2004.pdf

  • INTRUSION DETECTION
    Table of Contents. INTRUSION DETECTION. Intrusion Detection with an IDS (Intrusion Detection Sensor). ◊. Why Do Intrusion Detection
    sdu.ictp.it/lowbandwidth/program/richard/Richard-intrusiondetection.pdf

  • Intrusion Detection Systems
    news@sei interactive, March 2001. http://interactive.sei.cmu.edu. 1. Intrusion Detection Systems. Intrusion Detection Systems (IDSs) are an important,
    www.sei.cmu.edu/news-at-sei/features/2001/1q01/pdf/feature-3-1q01.pdf

  • Automated Incremental Design of Flexible Intrusion Detection
    Automated Incremental Design of Flexible Intrusion Detection Systems on. FPGAs. 1. Zachary K. Baker and ViktK. Prasanna
    gridsec.usc.edu/files/TR/TR11_zbakerHPEC04.pdf

  • A Methodology fSynthesis of Efficient Intrusion Detection
    A Methodology fSynthesis of Efficient Intrusion Detection Systems on FPGAs. 1. Zachary K. Baker and ViktK. Prasanna. University of Southern California
    gridsec.usc.edu/files/TR/TR1_zbakerUSCfccm.pdf

  • An Overview of the Bro Intrusion Detection System
    1. 1. GGF. Bro. An Overview of the. Bro Intrusion Detection System. Lawrence Berkeley National Laboratory. Brian L. Tierney, Vern Paxson, James Rothfuss
    crd.lbl.gov/DOEresources/SC04/Tierney_Bro_SC04.pdf

  • IDGraphs: Intrusion Detection and Analysis Using Histographs
    Pin Ren. ∗. Yan Gao. †. Zhichun Li. ‡. Yan Chen. §. Benjamin Watson. ¶. Department of Computer Science. Northwestern University
    www.cs.northwestern.edu/~zli109/publication/vizsec05.pdf

  • An Application of Information Theory to Intrusion Detection
    An Application of Information Theory to Intrusion Detection. E. Earl Eiland. Computer Science Department. New Mexico Inst. of Mining and Technology
    infohost.nmt.edu/~itheory/papers/eiland-Information.pdf

  • Intrusion Detection Policy
    Section. Information Resource Security Policies. 04/01/2004. -Effective. mm/dd/yyyy. -Revised. Policy 1.090.0. Intrusion Detection Policy
    www.cis.tamuk.edu/help/policies/1_090_Intrusion%20Detection%20Policy.pdf

  • Using Program BehaviProles fIntrusion Detection 1 Introduction
    Using Program BehaviProles fIntrusion Detection. Anup K. Ghosh, Aaron Schwartzbard, & Michael Schatz. Reliable Software Technologies Corporation
    www.cigital.com/papers/download/sans_id99.pdf

  • Toward interface customization in intrusion detection systems
    Toward interface customization. in intrusion detection systems. Lloyd Williams, Sean P. McBride, Robert St. Amant, and Peng Ning
    www.research.ibm.com/iui-workshop/papers/williams-iui04w.pdf

  • Fast Content-Based Packet Handling fIntrusion Detection
    UCSD Technical Report CS2001-0670, May 2001. Fast Content-Based Packet Handling fIntrusion Detection. ∗. Mike Fisk. †§. mfisk@lanl.gov. George Varghese
    woozle.org/~mfisk/papers/ucsd-tr-cs2001-0670.pdf

  • FUZZY COGNITIVE MAPS FDECISION SUPPORT IN AN INTELLIGENT
    FUZZY COGNITIVE MAPS FDECISION SUPPORT IN AN. INTELLIGENT INTRUSION DETECTION SYSTEM. Ambareen Siraj. Susan M. Bridges. Rayford B. Vaughn
    www.cse.msstate.edu/~bridges/papers/nafips2001.pdf

  • Reactive Security – Intrusion Detection, Honeypots, and
    186. PIK 27 (2004) 4. EDITORIAL. K.G. Saur Verlag, München, 2004. M. Meier, U. Flegel, and H. König. Reactive Security –. Intrusion Detection, Honeypots,
    ls6-www.informatik.uni-dortmund.de/issi/archive/literature/2004/Meier_Flegel_Koenig:2004a.pdf

  • 24GHz Intrusion Detection SensfVehicle Antitheft Systems
    26. Yoshijiro Hori. Toshiyuki Moribayashi. Choichiro Tsuchihashi. Yoshihiro Sasaki. Many European, North American and other countries have high demand f
    www.fujitsu-ten.co.jp/english/company/researchdev/gihou/en_pdf/23/23-4.pdf

  • An Integrated Visualisation Framework fIntrusion Detection
    An Integrated Visualisation Framework fIntrusion. Detection. Mr. Huw Read, School of Computing, University of Glamorgan, UK. holread@glam.ac.uk
    www.itoc.usma.edu/Workshop/2006/Program/Presentations/IAW2006-13-2.pdf

  • Intrusion Detection Systems Elevated to the Next Level
    Intrusion Detection Systems. Elevated to the Next Level. Frank Becker, Matthias Petermann. December 4, 2005. 1 Introduction
    events.ccc.de/congress/2005/fahrplan/attachments/560-Paper_IntrusionDetectionSystems.pdf

  • Intrusion Detection Systems Intrusion Detection Systems
    Intrusion Detection Systems. Intrusion Detection Systems. Elevated to the. Next Level. 22. nd. Chaos Communication Congress. Alien8 - Matthias Petermann
    events.ccc.de/congress/2005/fahrplan/attachments/638-22c3_ids.pdf

  • Next-generation Intrusion Detection Expert System (NIDES) A Summary
    Next-generation Intrusion Detection Expert System (NIDES). A Summary. 1. Debra Anderson. Thane Frivold. Alfonso Valdes. Computer Science Laboratory
    ccss.usc.edu/530/papers/anderson_nides.pdf

  • 1 Feature Selection fIntrusion Detection using Neural Networks
    Mukkamala, Sung. 1. Feature Selection fIntrusion Detection using. Neural Networks and Support VectMachines. Srinivas Mukkamala. 1. & Andrew H. Sung
    www.icasa.nmt.edu/Content/publication/feature.pdf

  • COMP 290-040 Network Intrusion Detection Introduction & Overview
    1. ©2005 by Kevin Jeffay. COMP 290-040. Network Intrusion Detection. http://www.cs.unc.edu/jeffay/courses/nidsS05. Introduction & Overview. Kevin Jeffay
    www.cs.unc.edu/~jeffay/courses/nidsS05/slides/1-Introduction.pdf

  • Context-Based Intrusion Detection Using Snort, Nessus and Bugtraq
    Context-Based Intrusion Detection. Using Snort, Nessus and Bugtraq Databases. Frederic Massicotte. 1,2. Mathieu Couture
    www.lib.unb.ca/Texts/PST/2005/pdf/massicote.pdf

  • A Temporal Logic Based Framework fIntrusion Detection
    A Temporal Logic Based Framework fIntrusion. Detection. Prasad Naldurg, Koushik Sen, and Prasanna Thati. Department of Computer Science,
    osl.cs.uiuc.edu/docs/intrusion/intrusion.pdf

  • Network Intrusion Detection and Prevention
    ramesh@intruvert.com. 408-434-8302. 3200-A North First Street. San Jose, CA 95134. Network Intrusion Detection and Prevention. March 15, 2003. Ramesh Gupta
    www.comsoc.org/oeb/Past_Presentations/Intrusion_Detection_%20Prevention_Solanki.pdf

  • Computer intrusion detection through EWMA fautocorrelated and
    IEEE TRANSACTIONS ON RELIABILITY, VOL. 52, NO. 1, MARCH 2003. 75. Computer Intrusion Detection Through EWMA for. Autocorrelated and Uncorrelated Data
    enpub.fulton.asu.edu/ye/Published_Journal_Papers/Ye_41.pdf

  • LNCS 3858 - Behavioral Distance fIntrusion Detection
    Behavioral Distance fIntrusion Detection. Debin Gao. 1. , Michael K. Reiter. 2. , and Dawn Song. 2. 1. Electrical & Computer Engineering Department,
    www.ece.cmu.edu/~dgao/raid05.pdf

  • Computer System Intrusion Detection: A Survey
    Intrusion Detection. 1. 02/09/00. Computer System Intrusion Detection:. A Survey. 1. Anita K. Jones and Robert S. Sielken. Department of Computer Science
    www.cs.virginia.edu/~jones/IDS-research/Documents/jones-sielken-survey-v11.pdf

  • Efficient Intrusion Detection Using Principal Component Analysis
    Efficient Intrusion Detection Using Principal. Component Analysis. Yacine Bouzida, Frederic Cuppens, Nora Cuppens-Boulahia and Sylvain. Gombault
    www.rennes.enst-bretagne.fr/~fcuppens/articles/sar04.pdf

  • Y-MEANS: A CLUSTERING METHOD FINTRUSION DETECTION
    Y-MEANS: A CLUSTERING METHOD FINTRUSION DETECTION. Yu Guan and Ali A. Ghorbani. Faculty of Computer Science. University of New Brunswick
    glass.cs.unb.ca/ias/papers/ccece03.pdf

  • An Active Traffic Splitter Architecture fIntrusion Detection
    E. Markatos. ⋆. ⋆. Institute of Computer Science. †. Distributed Systems Laboratory. Foundation fResearch and Technology - Hellas
    www.ist-scampi.org/publications/papers/charitakis-mascots2003.pdf

  • 1 Intrusion Detection -- A 20 year practice Outline Till 1980
    1. IFSM, UMBC. 1. Intrusion Detection. -- A 20 year practice. Peng Liu. UMBC. IFSM, UMBC. 2. Outline. Motivation. Intrusion Detection Techniques
    www.sis.uncc.edu/LIISP/slides00/PENG.pdf

  • Toward interface customization in intrusion detection systems
    Toward interface customization. in intrusion detection systems. Lloyd Williams, Sean McBride, Robert St. Amant, and Peng Ning
    www.csc.ncsu.edu/faculty/stamant/papers/LWetal-iui04w.pdf

  • Intrusion Detection Management
    SOLUTION. SHEET. S. ECURE. P. IPE. INTRUSION DETECTION. Intrusion Detection Management. Intrusion detection technology plays a
    www.securepipe.com/pdf/solution.sheets/ids.pdf

  • Enhancing the Accuracy of Network-based Intrusion Detection with
    Enhancing the Accuracy of Network-based. Intrusion Detection with Host-based Context. Holger Dreger. 1. , Christian Kreibich
    www.gi-ev.de/fachbereiche/sicherheit/fg/sidar/dimva/dimva2005/materials/sommer.pdf

  • Integrating Intrusion Detection and Network Management
    SIDS - A system fenterprise-wide Intrusion Detection. Panagiotis Astithas, Georgios Koutepas, Athanassios Moralis, Basil Maglaris
    www.netmode.ntua.gr/papers/gkoutep/sids-ISSEA.pdf

  • Asynchronous Alert Correlation in Multi-agent Intrusion Detection
    V. Gorodetsky, I. Kotenko, and V. Skormin (Eds.): MMM-ACNS 2005, LNCS 3685, pp. 366–379, 2005. © Springer-Verlag Berlin Heidelberg 2005
    space.iias.spb.su/ai/publications/2005-gorodetsky-karsaev-samoilov-MMM-ACNS-05.pdf

  • Efficient Packet Classification fNetwork Intrusion Detection
    Efficient Packet Classification fNetwork Intrusion. Detection using FPGA. ∗. Haoyu Song. Department of CSE. Washington University. St. Louis, USA
    www.arl.wustl.edu/Publications/2005-09/fpga05.pdf

  • UCLog: A Unified, Correlated Logging Architecture fIntrusion
    UCLog: A Unified, Correlated Logging Architecture for. Intrusion Detection. Zhenmin Li. †. , Jed Taylor. †. , Elizabeth Partridge
    www.ncassr.org/projects/sift/papers/uclog.pdf

  • Making Intrusion Detection Systems Interactive and Collaborative
    Making Intrusion Detection Systems. Interactive and Collaborative. Scott Campbell scottc@nersc.gov. Stephen Chan sychan@lbl.gov. Lawrence Berkeley Lab
    www.usenix.net/events/sec05/wips/campbell.pdf

  • Next Generation Intrusion Detection and Prevention fComplex
    Next Generation Intrusion Detection and. Prevention fComplex Environments. Master Thesis in Computer Science. submitted by. Jean-Luc Besson
    www.ifi.unizh.ch/archive/mastertheses/DA_Arbeiten_2003/Besson_Jean_Luc.pdf

  • Data Mining fNetwork Intrusion Detection
    0. 90 91 92 93 94 95 96 97 98 99 00 01. 20000. 40000. 60000. Data Mining fNetwork Intrusion Detection. Paul Dokas, Levent Ertoz, Vipin Kumar,
    www.cs.umn.edu/research/MINDS/papers/nsf_ngdm_2002.pdf

  • MINDS - Minnesota Intrusion Detection System
    Chapter 3. MINDS - Minnesota Intrusion. Detection System. Levent Ertoz. , Eric Eilertson. , Aleksandar Lazarevic. ¡. ,. Pang-Ning Tan. , Vipin Kumar
    www.cs.umn.edu/research/MINDS/papers/minds_chapter.pdf

  • 1 Virus Protection and Intrusion Detection Topics What is a Virus
    1. Virus Protection and. Intrusion Detection. John Mitchell. Topics. u Trojans, worms, and viruses. u Virus protection. • Virus scanning methods
    crypto.stanford.edu/cs155-spring02/lecture13.pdf

  • Virus Protection and Intrusion Detection Topics What is a Virus
    1. Virus Protection and. Intrusion Detection. John Mitchell. Topics. Trojans, worms, and viruses. Virus protection. • Virus scanning methods
    crypto.stanford.edu/cs155-spring03/lecture12.pdf

  • Security Properties fIntrusion Detection
    Security Properties for. Intrusion Detection. Marco Giunti. Universita Ca’ Foscari di Venezia. Nordsec 2004. Nordsec 2004 - Marco Giunti – p. 1/24
    www.tml.tkk.fi/Nordsec2004/Presentations/giunti.pdf

  • Logging ffraud and intrusion detection Emilie Lundin Barse
    Logging ffraud and intrusion detection. Emilie Lundin Barse. Abstract:. A crucial part of intrusion fraud detection is to have good quality
    www.cs.kau.se/~simone/Swits-IV/lundin.pdf

  • Intrusion Detection in Hybrid Overlay Networks (work in progress)
    Intrusion Detection in Hybrid Overlay Networks. (work in progress). Martin Karresand. 19th May 2004. As the wireless technology matures the topology of
    www.cs.kau.se/~simone/Swits-IV/karresand.pdf

  • VeriSign Managed Intrusion Detection Services (IDS)
    DATA SHEET. On the Internet, network intruders are sophisticated navigators. They come from. outside the enterprise, attacking Internet connections,
    www.verisign.co.uk/static/029805.pdf

  • Active Networks Intrusion Detection and Response (AN-IDR)
    Active Networks Intrusion Detection and Response (AN-IDR). Overview. The Network Associates Laboratories Active Networks Intrusion
    www.isso.sparta.com/research/documents/anidr.pdf

  • Modeling Intrusion Detection Systems Using Linear Genetic
    Modeling Intrusion Detection Systems Using Linear. Genetic Programming Approach. Srinivas Mukkamala, Andrew H. Sung, Ajith Abrham*
    www.aimlearning.com/LGP%20Based%20IDS.pdf

  • Intrusion Detection and Prevention System (IPS) – Technology
    2005/8/26. 1/42. Intrusion Detection and Prevention. System (IPS) – Technology,. Applications, and Trend. Dr. Nen-Fu (Fred) Huang
    www.apan.net/meetings/taipei2005/presentation/APAN_IPS_NFHUANG_0826-2005.pdf

  • Neural networks vs. decision trees fintrusion detection
    Neural networks vs. decision trees fintrusion. detection. Yacine Bouzida. Mitsubishi Electric ITE-TCL. 1, allee de Beaulieu CS 10806
    www.rennes.enst-bretagne.fr/~fcuppens/articles/monam06.pdf

  • Elephant: Network Intrusion Detection Systems that Don’t Forget
    To appear in the proceedings of the 38. th. Hawaii International Conference on System Sciences (HICSS-38). January, 2005.
    www.cs.cmu.edu/~wls/isri/merideth-elephant-hicss-38.pdf

  • Undermining an Anomaly-Based Intrusion Detection System Using
    Undermining an Anomaly-Based Intrusion. Detection System Using Common Exploits. Kymie M.C. Tan, Kevin S. Killourhy, and Roy A. Maxion
    www.cs.cmu.edu/afs/cs.cmu.edu/user/maxion/www/pubs/TanKillourhyMaxion02.pdf

  • A DoS Resilient Flow-level Intrusion Detection Approach fHigh
    A DoS Resilient Flow-level Intrusion Detection Approach for. High-speed Networks. Yan Gao, Zhichun Li, Yan Chen. Department of EECS, Northwestern University
    www.cs.northwestern.edu/~zli109/publication/icdcs06.pdf

  • Network Intrusion Detection with Semantics-Aware Capability
    Network Intrusion Detection with Semantics-Aware Capability. Walter Scheirer and Mooi Choo Chuah. Lehigh University. Dept. of Computer Science and
    www.cse.lehigh.edu/~chuah/publications/semantics-ssn06.pdf

  • Creating the IETF IDWG Intrusion Detection Protocols IDMEF & IDXP
    Creating the IETF IDWG. Intrusion Detection Protocols. IDMEF & IDXP. Ground System Architectures Workshop. GSAW 2002. March 12-15, 2002. Joe Betser
    sunset.usc.edu/gsaw/gsaw2002/s5/erlinger.pdf

  • USING INTERNAL SENSORS FCOMPUTER INTRUSION DETECTION A Thesis
    USING INTERNAL SENSORS FOR. COMPUTER INTRUSION DETECTION. A Thesis. Submitted to the Faculty of. Purdue University. by Diego Zamboni. CERIAS TR 2001-42
    homes.cerias.purdue.edu/~zamboni/pubs/thesis-techreport.pdf

  • Hybrid Intelligent Intrusion Detection System
    Abstract—. Intrusion Detection Systems are increasingly a key. part of systems defense. Various approaches to Intrusion Detection. are currently being used,
    www.enformatika.org/data/v6/v6-70.pdf

  • MultisensAgent Based Intrusion Detection
    Abstract—. In this paper we propose a framework for. multisensintrusion detection called Fuzzy Agent-Based Intrusion. Detection System.
    www.enformatika.org/data/v5/v5-27.pdf

  • Toward Cost-Sensitive Modeling fIntrusion Detection and Response
    Toward Cost-Sensitive Modeling fIntrusion Detection and. Response. Wenke Lee. College of Computing. Georgia Institute of Technology
    www.fsl.cs.sunysb.edu/docs/cost-jcs-lee/jcs_lee.pdf

  • A Generic Architecture fFusion-Based Intrusion Detection Systems
    Erasmus University Rotterdam. Rotterdam School of Economics. Master Thesis. Business Informatics (Bestuurlijke Informatica). Supervised by dr. ir.
    www.xs4all.nl/~rcdeboer/rcdb_thesis.pdf

  • Network Intrusion Detection Service
    PRODUCT BRIEF. Network Intrusion Detection Service. Detects and facilitates. the prevention of. network intrusions. and vulnerabilities. Includes regular
    www.nacio.com//stories/pdfs/nacio%20product%20brief%20-%20network%20intrusion%20detection%20service.pdf

  • An Intrusion Detection Game with Limited Observations
    An Intrusion Detection Game. with Limited Observations. Tansu Alpcan. 1. and Tamer Basar. 1. Keywords: Non-zero-sum games, stochastic games, system security
    www-sop.inria.fr/coprin/Congress/ISDG06/Abstract/alpcan.pdf

  • Cyber Security and the Evolution of Intrusion Detection Systems
    2. , Yuehui Chen. 3. School of Computer Science and Engineering, Chung-Ang University, Korea. 2. Department of Computer Science
    www.cs.ubbcluj.ro/~cgrosan/kerala.pdf

  • Automatic compilation framework fBloom filter based intrusion
    Automatic compilation framework fBloom filter based. intrusion detection. Dinesh C Suresh, Zhi Guo*, Betul Buyukkurt and Walid A. Najjar
    www.cs.ucr.edu/~roccc/papers/ARC-2006-Bloom.pdf

  • Packet Pre-filtering fNetwork Intrusion Detection
    Packet Pre-filtering fNetwork Intrusion Detection. Ioannis Sourdis,. ∗. Vasilis Dimopoulos,. ♯. Dionisios Pnevmatikatos,. ♯‡. Stamatis Vassiliadis
    ce.et.tudelft.nl/publicationfiles/1201_564_ancs5169-sourdis.pdf

  • Controlling Intrusion Detection Systems by Generating False
    Controlling Intrusion Detection Systems by Generating False Positives:. Squealing Proof-of-Concept. William Yurcik. 1. National Center fSupercomputing
    www.projects.ncassr.org/sift/papers/lcn02.pdf

  • Alert Correlation in a Cooperative Intrusion Detection Framework
    Alert Correlation in a Cooperative Intrusion Detection Framework. Frédéric Cuppens Alexandre Miège. ONERA Centre de Toulouse. 2, av. Edouard Belin
    4lx.free.fr/articles/CM02.pdf

  • An Information Visualization Framework fIntrusion Detection
    1743. An Information Visualization Framework. fIntrusion Detection. Anita Komlodi, John R. Goodall, Wayne G. Lutters. Department of Information Systems,
    www.research.umbc.edu/~lutters/pubs/2004_CHI_LBR_Komlodi,Goodall,Lutters.pdf

  • The Work of Intrusion Detection: Rethinking the Role of Security
    Goodall et al. The Work of Intrusion Detection. The Work of Intrusion Detection:. Rethinking the Role of Security Analysts. John R. Goodall
    www.research.umbc.edu/~lutters/pubs/2004_AMCIS_Note_Goodall,Lutters,Komlodi.pdf

  • Correlation between NetFlow System and Network Views fIntrusion
    National Center fSupercomputing Applications. Correlation between NetFlow System and. Network Views fIntrusion Detection. Cristina Abad, Yifan Li*,
    www-users.cs.umn.edu/~aleks/sdm04w/yli.pdf

  • Using Independent Auditors as Intrusion Detection Systems
    Using Independent Auditors. as Intrusion Detection Systems. Jesus Molina and William Arbaugh. Department of Computer Science. University of Maryland
    www.cs.umd.edu/~waa/pubs/komoku.pdf

  • “Interest”ing Intrusion Detection Motivation
    1. “Interest”ing Intrusion Detection. Rajeev Gopalakrishna. And. Gene Spafford. Motivation. • Concept of agents to perform intrusion. detection
    www.cerias.purdue.edu/symposium/2001/posters/post_36.pdf

  • DETECTING DANGER: APPLYING A NOVEL IMMUNOLOGICAL CONCEPT TO
    Poster Proceedings of ACDM 2004. Engineers’ House, Bristol, UK. DETECTING DANGER: APPLYING A NOVEL IMMUNOLOGICAL CONCEPT TO. INTRUSION DETECTION SYSTEMS
    www.cs.nott.ac.uk/~uxa/papers/04acdm_jools.pdf

  • Learning Cost-Sensitve Classification Rules fNetwork Intrusion
    Learning Cost-Sensitve Classification Rules for. Network Intrusion Detection using RIPPER. Technical Report CUCS-035-1999
    www.cs.columbia.edu/techreports/cucs-035-99.pdf

  • White Paper: Deploying Network Taps with Intrusion Detection Systems
    White Paper: Deploying Network Taps. with Intrusion Detection Systems. -1-. Executive Summary. Network Security is a large and growing area of concern f
    www.netoptics.com/products/pdf/Taps-and-IDSs.pdf

  • Performance Analysis of Content Matching Intrusion Detection Systems
    Performance Analysis of Content Matching Intrusion Detection Systems. S. Antonatos. ⋆. , K. G. Anagnostakis. †. , E. P. Markatos. ⋆. , M. Polychronakis
    www.ist-scampi.org/publications/papers/antonatos-saint2004.pdf

  • A network intrusion detection system on IXP1200 network processors
    A network intrusion detection system on IXP1200 network. processors with support flarge rule sets. (Technical Report 2004-02). Herbert Bos. Kaiming Huang
    www.cs.vu.nl/~herbertb/papers/trixpid.pdf

  • A Distributed Intrusion Detection Prototype using Security Agents
    A Distributed Intrusion Detection Prototype. using Security Agents. V. Chatzigiannakis, G. Androulidakis, M. Grammatikou, B. Maglaris
    www.netmode.ntua.gr/papers/gandr/hpovua04-netmode.pdf

  • Applying Mobile Agent Technology to Intrusion Detection
    Applying Mobile Agent Technology. to Intrusion Detection. Christopher Krugel. chris@infosys.tuwien.ac.at. Thomas Toth. ttoth@infosys.tuwien.ac.at
    www.auto.tuwien.ac.at/~chris/research/doc/2001_01.pdf

  • MSS-Monitored Intrusion Detection Systems
    SUN MONITORED INTRUSION DETECTION SYSTEM (IDS) SERVICE. United States. 1. S. COPE. This Service provides Customer with, and consists of, monitoring by Sun
    www.sun.com/servicelist/ss/mssintrusionmonitoring-us-eng-20040723.pdf

  • MSS-Managed Intrusion Detection System Services
    SUN MANAGED INTRUSION DETECTION SYSTEM SERVICES (IDS). United States. 1. S. COPE. This Service provides Customer with, and consists of, management and
    www.sun.com/servicelist/ss/mssintrusionmgmt-us-eng-20040723.pdf

  • Cisco Secure Intrusion Detection System (CSIDS)
    Cisco Secure Intrusion Detection System. (CSIDS). COURSE DESCRIPTION. Cisco Secure Intrusion Detection System (CSIDS) is a lab intensive course
    www.inixindosurabaya.com//sylabus/cisco/Cisco%20Secure%20Intrusion%20Detection%20System%20-%20v0202e.pdf

  • Cisco® Secure Intrusion Detection System (CSIDS)*
    Cisco® Secure Intrusion Detection System (CSIDS)*. (4 day Instructor-Led Course). Course Overview. Gain the knowledge and skills needed to design,
    emarketing.propoint.com/propoint/outline/CSIDS_ftr.pdf

  • Evaluating Intrusion Detection Systems: The 1998 DARPA Off-line
    1. Evaluating Intrusion Detection Systems:. The 1998 DARPA Off-line Intrusion Detection Evaluation*. Richard P. Lippmann, David J. Fried, Isaac Graf,
    www.ll.mit.edu/IST/pubs/discex2000-rpl-paper.pdf

  • NETWORK GROUP INTRUSION DETECTION SUBGROUP REPORT Report on the NS
    THE PRESIDENT’S. NATIONAL SECURITY TELECOMMUNICATIONS. ADVISORY COMMITTEE. NETWORK GROUP. INTRUSION DETECTION SUBGROUP
    www.ncs.gov/nstac/reports/1997/FIDSGREP.pdf

  • A Distributed Agent-Based Approach to Intrusion Detection Using
    A Distributed Agent-Based Approach to Intrusion Detection Using the. Lightweight PCC Anomaly Detection Classifier. Zongxing Xie, Thiago Quirino,
    www.eng.miami.edu/~shyu/Paper/2006/SUTC06.pdf

  • Handling Nominal Features in Anomaly Intrusion Detection Problems
    Handling Nominal Features in Anomaly Intrusion Detection Problems. Mei-Ling Shyu. 1. , Kanoksri Sarinnapakorn. 1. , Indika Kuruppu-Appuhamilage
    www.eng.miami.edu/~shyu/Paper/2005/SDMA05.pdf

  • An Intrusion Detection System fSuburban Ad-hoc Networks
    An Intrusion Detection System fSuburban Ad-hoc. Networks. Muhammad Mahmudul Islam, Ronald Pose and Carlo Kopp. School of Computer Science and Software
    www.csse.monash.edu.au/research/san/An_Intrusion_Detection_System_for_Suburban_Ad-hoc_Networks.pdf

  • Priorities in the deployment of network intrusion detection
    Priorities in the deployment of network. intrusion detection systems. Master’s Thesis. Marcin Dobrucki. Helsinki University of Technology
    www.niksula.hut.fi/~mdobruck/thesis/thesis.pdf

  • Real-time Intrusion Detection fAd hoc Networks
    Real-time Intrusion Detection fAd hoc Networks. Ioanna Stamouli. A dissertation submitted to the University of Dublin, in partial fulfilment of
    https://www.cs.tcd.ie/publications/tech-reports/reports.03/TCD-CS-2003-54.pdf

  • Teja NP Intrusion Detection System Application
    (Preliminary). Intrusion detection technology provides the critical alerts necessary to identify. and ultimately prevent attacks threatening the security of
    www.teja.com/content/5276_IntrusDataSht.pdf

  • Intrusion Detection and Visualization Using Perl
    Intrusion Detection and Visualization Using Perl, slide 1. Jukka Juslin 7-23-2001. Lightning Talk. O’Reilly Open Source Convention. San Diego. California
    www.cs.hut.fi/~jtjuslin/OREILLY_v2.pdf

  • An intrusion detection system based on immune mechanisms
    SPIE Newsroom. 10.1117/2.1200609.0282. An intrusion detection system. based on immune mechanisms. Yan Qiao. Bio-inspired approach affords better protection
    newsroom.spie.org/documents/Imported/282/2006090282.pdf

  • A Novel Intelligent Intrusion Detection, Decision, Response System
    1630. IEICE TRANS. FUNDAMENTALS, VOL.E89–A, NO.6 JUNE 2006. PAPER. Special Section on Papers Selected from ITC-CSCC 2005
    ietfec.oxfordjournals.org/cgi/reprint/E89-A/6/1630.pdf

  • AN UNSUPERVISED CLUSTERING ALGORITHM FINTRUSION DETECTION
    AN UNSUPERVISED CLUSTERING. ALGORITHM FINTRUSION DETECTION. Yu Guan. 1. , Ali A. Ghorbani. 1. , and Nabil Belacel. 2. 1. Faculty of Computer Science
    glass.cs.unb.ca/ias/papers/ymeans-ai03.pdf

  • Intrusion Detection fPublic Transportation Facilities Handbook
    TRANSIT. COOPERATIVE. T. RESEARCH. RESEARCH. PROGRAM. Sponsored by. the Federal. e. Transit. r. Administration. A. Public Transportation Security. Volume 4
    www.cutr.usf.edu/bussafety/documents/tcrp-86v4.pdf

  • MINDS – Data Mining based Intrusion Detection System
    MINDS – Data Mining based Intrusion Detection System. Levent Ertöz. 1. , Eric Eilertson. 1. , Aleksandar Lazarevic. 1. , Pang-Ning Tan
    multimedia.ece.uic.edu/FIT03/Day-1/S12/p1.pdf

  • Automatic Synthesis of Efficient Intrusion Detection Systems on FPGAs
    Automatic Synthesis of Efficient Intrusion. Detection Systems on FPGAs. Zachary K. Baker and ViktK. Prasanna. University of Southern California,
    halcyon.usc.edu/~pk/prasannawebsite/papers/zbakerFPL04.pdf

  • Using OpenBSD and Snort to build ready to roll Network Intrusion
    Using OpenBSD and Snort. to build ready to roll Network. Intrusion Detection System. Sensor. USENIX'04 / UseBSD. Tuesday, June 29, 2004
    www.openbsdsupport.org/usenix-usebsd-nids.pdf

  • Adapting Safety Requirements Analysis to Intrusion Detection
    Adapting Safety Requirements Analysis to Intrusion Detection. Robyn R. Lutz. Jet Propulsion Laboratory, and. Department of Computer Science
    www.sreis.org/old/2001/papers/sreis013.pdf

  • Understanding Intrusion Detection
    CHAPTER. 1. Understanding. Intrusion Detection. 3. Hacking Incident / Intrusion Detection & Prevention / Endorf, Schultz, Mellander / 222954-3 / Chapter 1
    mithras.itworld.com/download/book_chapters_and_wps/intrusion_detection/Intrusion_c01.pdf

  • Unsupervised Anomaly Detection in Network Intrusion Detection
    Unsupervised Anomaly Detection in Network Intrusion Detection. Using Clusters. Kingsly Leung. Christopher Leckie †. †NICTA Victoria Laboratory
    crpit.com/confpapers/CRPITV38Leung.pdf

  • Deterministic Memory-Efficient String Matching Algorithms f
    Deterministic Memory-Efficient String Matching. Algorithms fIntrusion Detection. Nathan Tuck. †. Timothy Sherwood. ‡. Brad Calder. †. George Varghese
    www.ieee-infocom.org/2004/Papers/54_5.PDF

  • Intrusion detection considerations fswitched networks
    Intrusion detection considerations fswitched networks. Thomas D. Tarman and Edward L. Witzke. Advanced Networking Integration Department
    www.osti.gov/bridge/servlets/purl/764840-doIlzA/webviewable/764840.pdf

  • Using ACL2 to Verify Security Properties of Specification- based
    Using ACL2 to Verify Security Properties of Specification-. based Intrusion Detection Systems. Tao Song. 1. , Jim Alves-Foss
    www.cs.utexas.edu/~moore/acl2/workshop-2003/contrib/tsong/shim.pdf

  • Layer 2 Analysis of WLAN Discovery Applications fIntrusion
    Copyright © 2002, Joshua Wright. All rights reserved. 1 of 13. Layer 2 Analysis of WLAN Discovery Applications fIntrusion Detection
    home.jwu.edu/jwright/papers/l2-wlan-ids.pdf

  • Deterministic Memory-Efficient String Matching Algorithms f
    1. Deterministic Memory-Efficient String Matching. Algorithms fIntrusion Detection. Nathan Tuck. †. Timothy Sherwood. ‡. Brad Calder. †. George Varghese
    www.cs.ucsd.edu/~calder/papers/INFOCOM-04-IDS.pdf

  • Network Intrusion Detection Systems & Encryption: Friends Foes?
    Background. Problem. Approaches. Discussion. Network Intrusion Detection Systems &. Encryption: Friends Foes? GregSchaffrath
    https://www.csg.unizh.ch/staff/schaffrath/NIDSEnc_FoF.pdf

  • Rules definition fanomaly based intrusion detection
    Rules definition fanomaly based intrusion detection © 2002-2003 Lubomir Nistor. 2. Introduction. Intrusion detection systems (IDS) are one of the fastest
    www.security-gurus.de/papers/anomaly_rules_def.pdf

  • XML-DNR: A Bandwidth-Saving Technique FDistributed Intrusion
    XML-DNR:. A Bandwidth-Saving Technique FDistributed Intrusion. Detection Systems. Joseph Acampora. School of Computer Science and Information Systems
    cybertrain.labworks.org/conferences/april2005/Acampora_Joseph_XML-DNR.pdf

  • CIDS: Causality-based Intrusion Detection System
    1. CIDS: Causality-based Intrusion Detection System. Samuel T. King, Z. Morley Mao, and Peter M. Chen. Department of Electrical Engineering and Computer
    www.eecs.umich.edu/techreports/cse/2004/CSE-TR-493-04.pdf

  • Exploiting History in a Network Intrusion Detection System
    Exploiting History in a Network Intrusion Detection System. Roxana Geambasu, Tanya Bragin. University of Washington. Abstract
    www.cs.washington.edu/homes/roxana/pdfs/nids_dbms-tech06.pdf

  • Learning Program BehaviProles fIntrusion Detection
    Learning Program BehaviProles fIntrusion Detection. Anup K. Ghosh, Aaron Schwartzbard & Michael Schatz. Reliable Software Technologies Corporation
    www.cigital.com/papers/download/usenix_id99.pdf

  • Optimal Configuration of Intrusion Detection Systems
    Optimal Configuration of Intrusion Detection Systems, Cavusoglu, Mishra and Raghunathan. 1. Abstract—An important requirement of an Intrusion Detection
    www.cs.stonybrook.edu/skm2006/papers/paper/paper14.pdf

  • Intrusion Detection through Dynamic Software Measurement
    Intrusion Detection through Dynamic Software Measurement. Sebastian Elbaum. John C. Munson. Computer Science Department. University of Idaho
    www.cse.unl.edu/~elbaum/papers/workshops/IntrusionDetection99.pdf

  • Intrusion Detection and Failure Recovery in SensNodes
    Intrusion Detection and Failure Recovery in SensNodes. Harald Vogt, Matthias Ringwald, Mario Strasser. Institute fPervasive Computing
    www.vs.inf.ethz.ch/res/papers/vogt05recovery.pdf

  • • Antivirus • Web Filtering • Intrusion Detection & Prevention
    Antivirus. • Web Filtering. • Intrusion Detection & Prevention. • Antispam. F O R T I G U A R D S U B S C R I P T I O N S E R V I C E S
    www.fortinet.co.th/doc/ServiceDS.pdf

  • Comparison of BPL and RBF Network in Intrusion Detection System
    Comparison of BPL and RBF Network in. Intrusion Detection System. Chunlin Zhang, Ju Jiang, and Mohamed Kamel. Pattern Analysis and Machine Intelligence
    www.springerlink.com/index/CX4A3A2PU94RR0JQ.pdf

  • APPLICATION-LAYER INTRUSION DETECTION NON-INTRUSIVE MONITORING
    H. A C K E R. S. AV V Y . E. N T E R P R I S E. S. M A R T . Defiance™ Monitis the first policy-based Web application. Intrusion Detection System (IDS)
    www.kavado.com/pdf/Defiance_Monitor_Datasheet.pdf

  • Rising to the challenge: Moving from Intrusion Detection to
    White Paper. “Transforming. Network Data into. Security Knowledge.” Intrusion Detection System. Rising to the challenge:. Moving from Intrusion
    www.k2defender.com//Rising_to_the_Challenge_Moving_from_Intrusion_Detection_to_Security_Monitoring.pdf

  • Network Security Intrusion Detection and Prevention
    Copyright © 2004 Juniper Networks, Inc. Proprietary and Confidential. www.juniper.net. 1. Network Security. Intrusion Detection and. Prevention. Prasad Babu
    www.sanog.org/resources/sanog4-prasad-intrusion-dandp.pdf

  • Testing Network Intrusion Detection Systems
    Testing Network Intrusion Detection Systems. Davide Balzarotti. [davide.balzarotti@polimi.it]. The problem. Each mutant can be represented as a point in a
    https://www.elet.polimi.it/dottorato/poster/balzarotti.pdf

  • LNCS 3174 - A Novel Intrusion Detection Method Based on Principle
    F. Yin, J. Wang, and C. Guo (Eds.): ISNN 2004, LNCS 3174, pp. 657–662, 2004. © Springer-Verlag Berlin Heidelberg 2004. A Novel Intrusion Detection Method
    www.lri.fr/~xlzhang/papers/A%20Novel%20Intrusion%20Detection%20Method%20Based%20on%20Principal%20Componen

  • Fiber Optic Intrusion Detection Systems
    Fiber Optic Intrusion Detection Systems. ©2005 Network Integrity Systems. All rights reserved. NETWORK INTEGRITY SYSTEMS: We Bring Security To Light
    www.networkintegritysystems.com/pdf/NIS-FiberOpticIntrusionDetectionSystems.pdf

  • Intrusion Detection Techniques and Approaches
    Intrusion Detection Techniques and Approaches. Theuns Verwoerd and Ray Hunt,. Department of Computer Science. University of Canterbury, New Zealand
    www.netlab.tkk.fi/opetus/s384030/k07/materials/IDSIEEE.pdf

  • An Intrusion Detection System with Active Response Generation
    Levent Özgür Özalp, Ali Ziya Alkar. Abstract— In this study an Intrusion Detection System. (IDS) is designed as a network based intursion detection
    www.ee.hacettepe.edu.tr/~alkar/IDS.pdf

  • STAT 753 Computer Intrusion Detection Visual Analytics f
    Visual Analytics fIntrusion Detection. The following discussion is based on joint work with. Karen Kafadar of the University of Colorado, Denver.
    www.galaxy.gmu.edu/stats/syllabi/stat753/STAT753_Lecture11.pdf

  • Correlation between NetFlow System and Network Views fIntrusion
    Correlation between NetFlow System and Network Views. fIntrusion Detection. ∗. Cristina Abad. †‡. Yifan Li. †‡. Kiran Lakkaraju
    www.ncassr.org/projects/sift/papers/icdm04.pdf

  • Evaluation of Intrusion Detection Systems
    1. Introduction. Little was done to evaluate computer intrusion detec-. tion systems (IDSs) prito the evaluations conducted
    nvl.nist.gov/pub/nistpubs/jres/108/6/j86ulv.pdf

  • An Anomaly Intrusion Detection System Based on VectQuantization
    IEICE TRANS. INF. & SYST., VOL.E89–D, NO.1 JANUARY 2006. 201. PAPER. Special Section on New Technologies and their Applications of the Internet III
    ietisy.oxfordjournals.org/cgi/reprint/E89-D/1/201.pdf

  • Applying Fast String Matching to Intrusion Detection
    Applying Fast String Matching to Intrusion Detection. Mike Fisk. †§. mfisk@lanl.gov. and. George Varghese. †. varghese@cs.ucsd.edu
    woozle.org/~mfisk/papers/setmatch-raid.pdf

  • A study on fuzzy intrusion detection
    A study on fuzzy intrusion detection. J.T. Yao. S.L. Zhao. L. V. Saxton. Department of Computer Science. University of Regina
    www2.cs.uregina.ca/~jtyao/Papers/detection.pdf

  • Data Mining Approaches fIntrusion Detection
    Data Mining Approaches fIntrusion Detection. Wenke Lee. Salvatore J. Stolfo. Computer Science Department. Columbia University. 500 West 120th Street,
    www.cs.wpi.edu/~fcco/classes/cs525F-2004/readings/datamining-techniques.pdf

  • Intrusion detection mechanisms fVoIP applications
    Intrusion detection mechanisms. fVoIP applications. Mohamed Nassar, Radu State and Olivier Festor. LORIA-INRIA Lorraine
    iptel.org//doc/09%20-%20Nassar%20-%20Intrusion%20Detection%20Mechanisms%20for%20VoIP%20Applications.pdf

  • SCIDIVE: A Stateful and Cross Protocol Intrusion Detection
    1. Abstract. Voice over IP (VoIP) systems are gaining in popularity as the technology ftransmitting voice traffic over. IP networks.
    cobweb.ecn.purdue.edu/~dcsl/Publications/papers/scidive_dsn04_submit.pdf

  • The Value of Intrusion Detection Systems in Information Technology
    Information Systems Research. Vol. 16, No. 1, March 2005, pp. 28–46. issn 1047-7047 eissn 1526-5536 05 1601 0028. informs. ®. doi 10.1287/isre.1050.0041
    info.freeman.tulane.edu/huseyin/paper/ids.pdf

  • Strikeback : The Sidewinder G 2 Firewall Strategy fIntrusion
    S O L U T I O N S B R I E F. Strikeback. ®. : The. Sidewinder. ®. G. 2. Firewall. ™. Strategy fIntrusion Detection. and Response
    www.securecomputing.com/pdf/swind_strikeback_sb.pdf

  • Enhancing the Accuracy of Network-based Intrusion Detection with
    Enhancing the Accuracy of Network-based. Intrusion Detection with Host-based Context. Holger Dreger. Christian Kreibich. TU Munchen. University of Cambridge
    www.net.in.tum.de/~hdreger/papers/DIMVA05_HostContext.pdf


  • Collaborative Intrusion Detection System (CIDS): A Framework f
    1. Collaborative Intrusion Detection System (CIDS): A Framework for. Accurate and Efficient IDS. Paper Number 127. Submitted to ACSAC 2003. Abstract
    cobweb.ecn.purdue.edu/~sbagchi/Research/Papers/cids_acsac03.pdf

  • Network & Agent Based Intrusion Detection Systems
    1. Network & Agent Based Intrusion Detection Systems. Hakan Albag. TU Munich, Dep. of Computer Science – Exchange Student. Istanbul Tech. Uni., Dep.
    www.model.in.tum.de/um/courses/seminar/worm/WS0405/albag.pdf

  • Introduction to Intrusion Detection and Snort
    1. C. H A P T E R. 1. Introduction to. Intrusion Detection. and Snort. ecurity is a big issue fall networks in today’s enterprise environ-
    www.phptr.com/content/images/0131407333/samplechapter/0131407333_ch01.pdf

  • Layer 2 Analysis of WLAN Discovery Applications fIntrusion
    1 of 13. Layer 2 Analysis of WLAN Discovery Applications fIntrusion Detection. Joshua Wright, GCIH, CCNA. 11/8/2002. Abstract
    www.rootsecure.net/content/downloads/pdf/wlan_ids.pdf

  • Log Analysis-Based Intrusion Detection via Unsupervised Learning
    Log Analysis-Based Intrusion Detection via. Unsupervised Learning. Pingchuan Ma. Master of Science. School of Informatics. University of Edinburgh
    www.inf.ed.ac.uk/publications/thesis/online/IM030059.pdf

  • Network Intrusion Detection of Third Party Effects Introduction
    1. Network Intrusion Detection of Third Party Effects. by. Richard Bejtlich, TaoSecurity. richard@bejtlich.net. www.bejtlich.net. v1.01, 05 September 2000
    www.taosecurity.com/nid_3pe_v101.pdf

  • Indra: A Distributed Approach to Network Intrusion Detection and
    1. Indra: A Distributed Approach to Network Intrusion. Detection and Prevention. Qi Zhang. Ramaprabhu Janakiraman. Department of Computer Science
    www.cs.wustl.edu/cs/techreports/2001/wucs-01-30.pdf

  • LNCS 2820 - Modeling Computer Attacks: An Ontology fIntrusion
    Modeling Computer Attacks:. An Ontology fIntrusion Detection. Jeffrey Undercoffer, Anupam Joshi, and John Pinkston
    ebiquity.umbc.edu/get/a/publication/307.pdf

  • Secure Routing and Intrusion Detection in Ad Hoc Networks
    To appear in the Proceedings of the 3rd International Conference on Pervasive Computing and. Communications(PerCom 2005), Kauai Island, Hawaii.
    ebiquity.umbc.edu/get/a/publication/155.pdf

  • Visualizing Network Traffic fIntrusion Detection
    Visualizing Network Traffic fIntrusion Detection. John R. Goodall. Dept. of Information Systems, UMBC. 1000 Hilltop Circle, Baltimore, MD 21250 USA
    userpages.umbc.edu/~jgood/publications/goodall-dis06.pdf

  • POSEIDON: a 2-tier Anomaly-based Network Intrusion Detection System
    POSEIDON: a 2-tier Anomaly-based Network Intrusion Detection System. ∗. Damiano Bolzoni, Sandro Etalle, Pieter Hartel. University of Twente,
    eprints.eemcs.utwente.nl/1326/02/01610007.pdf

  • Intrusion Detection Force: An Infrastructure FInternet-Scale
    Copyright (c) 2003 L. Teo & Y. Zheng. 1. 2003 IEEE International Workshop on. Information Assurance (IWIA 2003). March 24, 2003. Lawrence Teo
    www.iwia.org/2003/Teo.pdf

  • Intrusion Detection with Neural Networks – Combination of Self
    Intrusion Detection with Neural Networks – Combination of. Self-Organizing Maps and Radial Basis Function Networks. fHuman Expert Integration
    ieee-cis.org/_files/EAC_Research_2003_Report_Horeis.pdf

  • HP Praesidium Intrusion Detection System/9000 Release Notes
    HP Praesidium. Intrusion Detection System/9000. Release Notes. Version 1.0. Update 1.1. Customer Order Number: J5083-90004
    docs.hp.com/en/J5083-90004/J5083-90004.pdf

  • HP-UX Host Intrusion Detection System Release 4.0 Release Notes
    HP-UX Host Intrusion Detection System. Release 4.0 Release Notes. HP-UX 11i v1 and 11i v2. Manufacturing Part Number: 5991-5413. June 2006
    www.docs.hp.com/en/5991-5413/5991-5413.pdf

  • UFGS 28 16 01.00 10 (13721A) Small Intrusion Detection System
    USACE / NAVFAC / AFCESA / NASA UFGS-28 16 01.00 10 (April 2006). --------------------------------. Preparing Activity: USACE Replacing without change
    www.wbdg.org/ccb/DOD/UFGS/UFGS%2028%2016%2001.00%2010.pdf

  • UFGS 28 16 00.00 20 (13702N) Basic Intrusion Detection Systems (IDS)
    USACE / NAVFAC / AFCESA / NASA UFGS-28 16 00.00 20 (April 2006). ------------------------------. Preparing Activity: NAVFAC Superseding
    www.wbdg.org/ccb/DOD/UFGS/UFGS%2028%2016%2000.00%2020.pdf

  • VIDEO SURVEILLANCE ACCESS CONTROL INTRUSION DETECTION GATES
    VIDEO SURVEILLANCE. - Closed Circuit Television Systems. - High quality Analog and Digital Cameras. - IP Addressable Network Cameras
    www.allisonsystems.com/files/enterprise_security.pdf

  • Design of an Intrusion-Tolerant Intrusion Detection System
    Project IST-1999-11583. Malicious- and Accidental-Fault Tolerance. fInternet Applications. Design of an Intrusion-Tolerant. Intrusion Detection System
    www.maftia.org/deliverables/D10.pdf

  • Managed Security Services Host-based Intrusion Detection Service
    Managed Security Services. Host-based Intrusion Detection Service (HIDS). ©2006 SAVVIS, Inc. All rights reserved. All trademarks property of their
    www.savvis.net/NR/rdonlyres/2BE3B25C-4FCF-4D45-852B-93A53084C80D/14581/HIDS.pdf

  • Falcon Watch RF-5400 Remote Intrusion Detection and Surveillance
    assuredcommunications. ™. FALCON WATCH. ™. RF-5400. REMOTE INTRUSION. DETECTION AND. SURVEILLANCE SYSTEM. rugged, easy-to-use. intelligent remote sensing
    www.rfcomm.harris.com/products/sensors/Falcon%20Watch%20RF-5400.pdf

  • Intrusion Detection Systems fIP Telephony Networks Summary 1
    17-1. Intrusion Detection Systems fIP Telephony Networks. Martin Steinebach. Fraunhofer Institute IPSI. Dolivostr.15. 64293 Darmstadt. Germany
    www.cs.ucc.ie/misl/publications/files/idssteinebach.pdf

  • Priorities in the deployment of network intrusion detection systems
    Priorities in the deployment of network intrusion detection. systems. Marcin Dobrucki. Marcin.Dobrucki@hut.fi. tutJonna Särs, Nixu Ltd. supervis
    www.niksula.hut.fi/~mdobruck/thesis/presentation.pdf

  • Network Intrusion Detection Systems: Important IDS Network
    The Case fLoad Balancing through Flow Mirroring. Top Layer Networks. Network Intrusion Detection Systems:. Important IDS Network Security
    www.forum-intrusion.com/archive/IDSB_White_Papera141002.pdf

  • Analysis and Design of Effective Methods fAnomaly-based
    Analysis and Design of Effective Methods for. Anomaly-based Intrusion Detection. ∗. Zonghua Zhang, Student No. 320017. zonghua@jaist.ac.jp,
    www.jaist.ac.jp/jinzai/Report16/Zonghua%20Zhang.pdf

  • Adaptive Observation-Centric Anomaly-Based Intrusion Detection
    Adaptive Observation-Centric Anomaly-Based Intrusion. Detection: Modeling, Analysis and Evaluation. ∗. Zonghua Zhang. School of Information Science, JAIST
    www.jaist.ac.jp/jinzai/Report17/Zonghua%20Zhang%20320017.pdf

  • A Target-Centric Ontology fIntrusion Detection
    A Target-Centric Ontology fIntrusion Detection. Jeffrey Undercoffer, John Pinkston, Anupam Joshi and Timothy Finin
    www.cs.vu.nl/~heiner/IJCAI-03/Papers/Undercoffer.pdf

  • Intrusion Detection: Forensic Computing Insights arising from a
    Authors: Broucek, Vlasti & Turner, Paul. EICAR Conference Best Paper Proceedings 2003. This paper is submitted fBest Student Paper Award
    forensics.utas.edu.au/files/EICAR2003.pdf

  • Operational Experiences with High-Volume Network Intrusion Detection
    Operational Experiences with High-Volume. Network Intrusion Detection. Holger Dreger. Anja Feldmann. Vern Paxson. Robin Sommer. TU Munchen. TU Munchen
    www.net.in.tum.de/~hdreger/papers/CCS04_OperationalExperiences.pdf

  • Evolving Fuzzy Classifiers fIntrusion Detection
    Proceedings of the 2002 IEEE. Workshop on Information Assurance. United States Military Academy, West Point, NY June 2001. ISBN 555555555/$10.00 © 2002 IEEE
    issrl.cs.memphis.edu/papers/issrl/2002/IDSPaperIEEE-2.pdf

  • Towards NIC-based Intrusion Detection
    Towards NIC-based Intrusion Detection. M. Otey, S. Parthasarathy, A. Ghoting, G. Li, S. Narravula. Department of Computer and Information Science,
    www.cse.ohio-state.edu/~narravul/papers/TowardsNIC.pdf

  • Framework fTheoretical Evaluation of Intrusion Detection
    Framework fTheoretical Evaluation of. Intrusion Detection Systems, IDS. Michael Asplund. Stockholm, december 2002. Abstract
    www.ics.kth.se/Publikationer/Diploma/2002/Asplund%20M.%202002.pdf

  • On The Feasibility of Distributed Intrusion Detection
    On The Feasibility of Distributed Intrusion Detection. Columbia University DNAD Team. Department of Computer Science. Columbia University
    worminator.cs.columbia.edu/papers/2004/dnad-final-report.pdf

  • Intrusion Detection and Incident Response Breakout Session
    Intrusion Detection and Incident Response Breakout Session. Session Leaders: Jim Barlow, Stephen Lau. The Intrusion Detection and Incident Response breakout
    www.educause.edu/ir/library/pdf/CYB0513B.pdf

  • 1 Annual Symposium on Information Assurance: Intrusion Detection
    1. st. Annual Symposium on. Information Assurance:. Intrusion Detection and Prevention. conference proceedings. Academic Track of the 9
    www.cscic.state.ny.us/security/conferences/security/2006/iasymposium.pdf

  • Lecture 15 Intrusion Detection: Basics and Current Methods
    Views and Access Control. 1. Lecture 15. Intrusion Detection:. Basics and Current Methods. 2. Intrusion detection. Anomaly detection models: compare a
    sconce.ics.uci.edu/ics243g/slides/lec15.pdf

  • OpenPMF: Using Open Source fSecurity Policy Integration and
    Published at the CALIBRE Open Source Conference in Dijon, France, 5.-9.07.2005 – © 2005 ObjectSecurity Ltd. OpenPMF:. Using Open Source fSecurity Policy
    www.objectsecurity.com/doc/openpmf-rmll.pdf

  • Introduction to Intrusion Detection Systems
    Introduction to. Intrusion Detection. Systems. Solutions in this Chapter:. I. Understanding the AVVID Architecture. I. Understanding the SAFE Blueprint
    www.syngress.com/book_catalog/267_cssp_ids/sample.pdf

  • Using Intrusion Detection Systems with a Firewall: Evaluation on
    Abstract—In this paper, two open-source network intrusion. detection systems –Snort and Pakemon– are combined with. Cisco IOS Firewall intrusion detection
    projects.cs.dal.ca/projectx/files/NIMS06-2003.pdf

  • A Peer-to-Peer Collaborative Intrusion Detection System
    A Peer-to-Peer Collaborative Intrusion Detection. System. Chenfeng Vincent Zhou, Shanika Karunasekera and Christopher Leckie. National ICT Australia
    www.cs.mu.oz.au/~cvzhou/pub/icon05.pdf

  • Microsoft PowerPoint - System Security and Intrusion Detection
    1. System Security and Intrusion. Detection. Tao Peng. tpeng@cs.mu.oz.au. The University of Melbourne. VIC, Australia 3010. Tao Peng 16 May 2005
    www.cs.mu.oz.au/645/IntDetHO.pdf

  • Managed Intrusion Detection
    Managed Intrusion Detection. Part of CSC’s global. service offerings portfolio. BENEFITS. • Ensures maximum protection. fbusiness-critical operations
    www.csc.com/solutions/security/knowledgelibrary/uploads/1373_1.pdf

  • Findings on a Semantically-Based Intrusion Detection Approach f
    3. rd. OLSR Interop / Workshop 2006. V2.0. Page 1. Findings on a Semantically-Based Intrusion. Detection Approach fOLSR MANET Protocol
    www.lix.polytechnique.fr/hipercom/Events/OLSR_Interop_06/Papers/semantics.pdf

  • Global Intrusion Detection: Prelude Hybrid IDS
    Global Intrusion Detection: Prelude Hybrid IDS. Mathieu Blanc. 1. , Laurent Oudot. 1. , and Vincent Glaume. 12. 1. rstack.org. {moutane,oudot,vg}@rstack.org
    www.rstack.org/docs/Prelude_mod.pdf

  • Intrusion Detection Systems
    Practical Overview. 1220 L Street, NW Suite 100-208 • Washington, DC 20005-4018. tel 202.393.4646 fax 202.393.4633 web www.lucidea.com
    lucidea.com/uploadedfiles/IntrusionDetectionGuide3.pdf

  • Unsupervised Learning and Data Mining fIntrusion Detection
    Politecnico di Milano. Dip. Elettronica e Informazione. Milano, Italy. Unsupervised Learning and. Data Mining fIntrusion Detection. Stefano Zanero
    www.s0ftpj.org/docs/csw04_ids.pdf

  • Hypervisor-based Intrusion Detection by Lionel Litty A thesis
    Hypervisor-based Intrusion Detection. by. Lionel Litty. A thesis submitted in conformity with the requirements. fthe degree of Master of Science
    www.cs.toronto.edu/~llitty/papers/MS.pdf

  • A Survey of Intrusion Detection Systems 1 Introduction 2
    A Survey of Intrusion Detection Systems. DOUGLAS J. BROWN, BILL SUCKOW, and TIANQIU WANG. Department of Computer Science, University of California,
    www.cs.ucsd.edu/classes/fa01/cse221/projects/group10.pdf

  • Intrusion Detection Standard
    Intrusion Detection Standard. Revision Date:. 1. Purpose: Intrusion detection provides two important functions in protecting. information resources:
    www.epcc.edu/Portals/62/documents/Intrusion%20Detection%20Standard.pdf

  • -more- TIPPINGPOINT DECLINES INTRUSION DETECTION AWARD NOMINATION
    -more-. CONTACT:. Laura Parker. 512-681-8441. lparker@tippingpoint.com. TIPPINGPOINT DECLINES INTRUSION DETECTION AWARD
    www.tippingpoint.com/pdf/press/2003/IDSDeclination_031803.pdf

  • Windows 2000 Auditing and Intrusion Detection http://www.microsoft
    Auditing - Best Practices. The following guidelines fauditing is an excerpt from the article “Windows 2000 Auditing and
    www.rippletech.com/PDF/New/SOX/Auditing%20Best%20Practices.pdf

  • Plan Recognition in Intrusion Detection Systems
    Plan Recognition in Intrusion Detection Systems. Christopher W. Geib and Robert P. Goldman. Honeywell Labs. 3660 Technology Drive. Minneapolis, MN 55418 USA
    homepages.inf.ed.ac.uk/cgeib/DISCEXIIGeib.pdf

  • Improving the Database Logging Performance of the Snort Network
    -0-. Improving the Database Logging Performance of. the Snort Network Intrusion Detection Sensor. Lambert Schaelicke, Matthew R. Geiger, Curt J. Freeland
    www.cs.utah.edu/~lambert/pdf/TR-03-10.pdf

  • Intrusion Detection Systems Intrusion Detection Systems
    Intrusion Detection Systems. Intrusion Detection Systems. (slides courtesy Prof. Stolfo). (slides courtesy Prof. Stolfo)
    www.cs.columbia.edu/~smb/classes/f06/l19.pdf

  • The MINDS - Minnesota Intrusion Detection System
    Chapter 3. The MINDS - Minnesota. Intrusion Detection System. Levent Ertoz. ∗. , Eric Eilertson. ∗. , Aleksandar Lazarevic
    www-users.cs.umn.edu/~kumar/papers/minds_chapter.pdf

  • VoIP Intrusion Detection Through Interacting Protocol State Machines
    VoIP Intrusion Detection Through Interacting Protocol State Machines. Hemant Sengar† Duminda Wijesekera† Haining Wang ‡ Sushil Jajodia†
    www.cs.wm.edu/~hnw/paper/dsn06.pdf

  • 122 - Understanding intrusion detection systems
    T. he proliferation of applications (especially Web sites) requiring some form. of e-commerce, and the increasingly important role that networks play in
    www.pcsupportadvisor.com/nasample/t1523.pdf

  • 1 An Examination of an Intrusion Detection Architecture f
    1. An Examination of an Intrusion Detection Architecture fWireless Ad Hoc Networks. *. Andrew B. Smith, Undergraduate. Department of Computer Science,
    cisse.info/history/CISSE%20J/2001/Smit.pdf

  • MSS-Monitored Intrusion Detection Systems
    SUN MONITORED INTRUSION DETECTION SYSTEM (IDS) SERVICE. Chile. 1. S. COPE. This Service provides Customer with, and consists of, monitoring by Sun in
    www.cobaltmicro.com/servicelist/ss/mssintrusionmonitoring-cl-eng-20040723.pdf

  • MSS-Managed Intrusion Detection System Services
    SUN MANAGED INTRUSION DETECTION SYSTEM SERVICES (IDS). Italy. 1. S. COPE. This Service provides Customer with, and consists of, management and monitoring,
    www.cobaltmicro.com/servicelist/ss/mssintrusionmgmt-it-eng-20040723.pdf

  • Network Intrusion Detection System (NIDS)
    Databases. Students:. Ashok Bhojwani. Graduate, Information Technology and Management. Jeremy Hajek. Undergraduate, Information Technology and Management
    www.cpd.iit.edu/innovations/SI-nids.pdf

  • Computer Intrusion Detection Joint Master’s Degree with Monterrey Tech
    Computer Intrusion Detection. InsideLook:. A publication of the. Department of. Industrial Engineering. Fall 2006. Are You Getting. IE Impact?
    www.fulton.asu.edu/~ie/IEatASU/alumni/Newsletter1006.pdf

  • Advanced Capability Waterside Intrusion Detection Radar
    Series 1000. Water Side Security. Intrusion Detection Radar. Background. Typical waterside surveillance/security systems use standard marine
    www.l-3klein.com/intrusion_detection/ecidr1000.pdf

  • INTCTD: A Peer-to-Peer Approach fIntrusion Detection
    INTCTD: A Peer-to-Peer Approach fIntrusion Detection. Catalin L. Dumitrescu. Computer Science Department, The University of Chicago
    people.cs.uchicago.edu/~cldumitr/docs/intrusiondetection2.pdf

  • An Intelligent Host-Based Intrusion Detection System
    An Intelligent Host-Based. Intrusion Detection System. Konrad Rieck. Spring 2004. Department of Mathematics and Computer Science. Freie Universitat Berlin
    ida.first.fraunhofer.de/~rieck/docs/talks/ml-ids-en.pdf

  • Intrusion Detection fMobile Ad Hoc Networks
    TC/Rockwell/5-20-04. SMU Engineering p. 1. Tom Chen. SMU, Dept of Electrical Engineering. tchen@engr.smu.edu. http://www.engr.smu.edu/tchen
    engr.smu.edu/~tchen/papers/talk-rockwell-May2004.pdf

  • Network Intrusion Detection Sequence mining - stide methodology
    Network Intrusion Detection. Sequence mining - stide methodology. Course Project. IT 608. Data Mining and Warehousing. by. Ashish (03329012)
    queens.db.toronto.edu/~amit//projects/ids.pdf

  • Intrusion Detection & Prevention
    Intrusion Detection & Prevention. Mark Webb. Mark Webb--Johnson. Johnson. Chief Technical Officer. Chief Technical Officer. Network Box Corporation
    www.hkcert.org/ppt/event096/idp.pdf

  • Challenges Design Goals System Framework Authentication Intrusion
    SCAN: SeCurity fAd Hoc Networks. •Network performance centric security design. Scalability. Availability. Robustness. Communication overhead
    www.cs.ucla.edu/wing/publication/CSDRR02SCAN.pdf

  • Network Intrusion Detection System (NIDS)
    “As a security. defense, both small. and large organizations. are turning to. PenTeleData to create. customized Network. Intrusion Detection
    www.penteledata.net/support/literature/pdf/nids.pdf

  • Towards the automatic generation of mobile agents fdistributed
    Towards the automatic generation of mobile agents for. distributed intrusion detection system. Yanxin Wang. *. , Smruti Ranjan Behera, Johnny Wong,
    www.cs.iastate.edu/~honavar/Papers/jss-automated.pdf

  • Natural Language Interface to an Intrusion Detection System
    ICCAS2001. International Conference on Control, Automation and Systems. 1. Introduction. Computer security has become an important issue
    www.seas.ucla.edu/coopcontrol/papers/02uc02.pdf

  • MSS-Monitored Intrusion Detection Systems
    SUN MONITORED INTRUSION DETECTION SYSTEM (IDS) SERVICE. Sweden. 1. S. COPE. This Service provides Customer with, and consists of, monitoring by Sun in
    www.cobaltnet.com/servicelist/ss/mssintrusionmonitoring-se-eng-20040723.pdf

  • MSS-Managed Intrusion Detection System Services
    SUN MANAGED INTRUSION DETECTION SYSTEM SERVICES (IDS). Colombia. 1. S. COPE. This Service provides Customer with, and consists of, management and monitoring
    www.cobaltnet.com/servicelist/ss/mssintrusionmgmt-co-eng-20040723.pdf

  • MITE - MANET Intrusion detection fTactical Environments
    Projects. MITE - MANET Intrusion detection fTactical Environments. Research Area: Intrusion Detection Systems. MITE - MANET Intrusion detection f
    www.fgan.de/fkie/site/c68_f5_en.pdf

  • Intrusion Detection Systems
    Research Areas. Intrusion Detection Systems. Research Area: Intrusion Detection Systems. Intrusion Detection Systems. Dr. Markus Antweiler
    www.fgan.de/fkie/site/c56_f5_en.pdf

  • An Intelligent TutfIntrusion Detection on Computer Systems
    An Intelligent TutfIntrusion Detection on Computer Systems. An Intelligent TutfIntrusion Detection on Computer Systems
    cisr.nps.navy.mil/downloads/98paper_idtutor.pdf

  • Intrusion Detection and Monitoring Services
    The implementation of a layered defense is critical in today’s interconnected enterprise. In. order to communicate with customers, business partners,
    www.protiviti.com/downloads/PRO/pro-us/product_sheets/technology_risk/intrusion_detection.pdf

  • Intrusion Detection – Capabilities and Considerations
    76. Dr James Cannady is a research. scientist within the Georgia Tech. Research Institute (GTRI) Information. Technology and Telecommunications. Laboratory.
    www.touchbriefings.com/pdf/1418/cannady.pdf

  • U.S. Government IEEE 802.11 Wireless Intrusion Detection System
    U.S. Government. IEEE 802.11 Wireless Intrusion. Detection System. Protection Profile. For. Medium Robustness Environments. Information. Assurance
    www.cab-cds.org/pp/draft_pps/archived/U.S.%20Government%20IEEE%20802.11%20Wireless%20Intrusion%20Detectio

  • DRAGON™ SQUIRE FDRAGON 5 INTRUSION DETECTION SYSTEM Data Sheet
    DRAGON™ SQUIRE FDRAGON 5 INTRUSION DETECTION SYSTEM. Intrusion Detection at the Host—FExtended Network Security. A host-based intrusion detection and
    www.duxbury.co.za/Products/Enterasys/Products/Dragon/DS005.pdf

  • Learning User Models fComputer Intrusion Detection: Preliminary
    Reports. Machine Learning and Inference Laboratory. Learning User Models. fComputer Intrusion Detection:. Preliminary Results from Natural Induction
    www.mli.gmu.edu/papers/2005/05-6.pdf

  • An introduction to automated intrusion detection approaches
    An introduction to automated intrusion detection. approaches. Rod Hart. Graduate Student, James Madison University, Harrisonburg, Virginia, USA
    www.emeraldinsight.com/Insight/html/Output/Published/EmeraldFullTextArticle/Pdf/0460070202.pdf

  • A Reconfigurable Architecture fNetwork Intrusion Detection
    A Reconfigurable Architecture fNetwork Intrusion. Detection using Principal Component Analysis. ∗. David Nguyen, Abhishek Das, Gokhan Memik,
    www.ece.northwestern.edu/~choudhar/publications/pdf/NguDas06A.pdf

  • NIST Special Publication on Intrusion Detection Systems
    NIST Special Publication on Intrusion Detection Systems. Page 1 of 51. NIST Special Publication. on Intrusion Detection. Systems. Rebecca Bace
    www.21cfrpart11.com/files/library/reg_guid_docs/nist_intrusiondetectionsys.pdf

  • Intrusion Detection Systems and A View To Its Forensic
    Intrusion Detection Systems and A View To Its Forensic Applications. The University of Melbourne. Department of Computer Science. Parkville 3052, Australia
    vip.poly.edu/kulesh/forensics/docs/intrusion-detection-systems-and.pdf

  • Intrusion detection is a critical component of secure systems
    Feature Ranking and Selection fIntrusion Detection Systems. Using Support VectMachines. Srinivas Mukkamala, Andrew H. Sung
    www.dfrws.org/2002/papers/Papers/Srinivas_Mukkamala.pdf

  • An Application of Machine Learning to Network Intrusion Detection
    An Application of Machine Learning to Network Intrusion Detection. Chris Sinclair. Applied Research Laboratories. The University of Texas at Austin
    www.cs.unc.edu/~jeffay/courses/nidsS05/ai/00816048.pdf

  • Automatic BackdoAnalysis with a Network Intrusion Detection
    Proceedings of the 2003 IEEE. Workshop on Information Assurance. United States Military Academy, West Point, NY June 2003. ISBN 555555555/$10.00 © 2003 IEEE
    www.cs.hut.fi/~jtjuslin/Juslin-IEEE-United-States-Military-Academy.pdf

  • A Territory-Based Intrusion Detection Scheme fMobile Ad Hoc
    A Territory-Based Intrusion Detection Scheme fMobile Ad Hoc Networks. Jaydip Sen. 1. , Indranil Sengupta. 1. , Piyali Roy Chowdhury
    www.facweb.iitkgp.ernet.in/~isg/PAPERS/RETIS-jaydip.pdf

  • Anomaly Intrusion Detection in Dynamic Execution Environments
    Anomaly Intrusion Detection in Dynamic Execution. Environments. Hajime Inoue. Department of Computer Science. University of New Mexico
    www.cs.unm.edu/~forrest/publications/NSPW-2002.pdf

  • EVALUATING THE VIABILITY OF INTRUSION DETECTION SYSTEM BENCHMARKING
    EVALUATING THE VIABILITY OF INTRUSION. DETECTION SYSTEM BENCHMARKING. A Thesis in TCC 402. Presented to:. The Faculty of the School of Engineering and
    www.cs.virginia.edu/~evans/theses/pickering.pdf

  • Going Beyond Behavior-Based Intrusion Detection
    1. Going Beyond Behavior-Based Intrusion Detection. Michael R. Hines. Abstract: Today’s Intrusion Detection (ID) ideas focus on two solutions: detecting
    www.cs.binghamton.edu/~mhines/papers/netsec-ID.pdf

  • An Intrusion Detection System fSecurity Protocol Traffic
    An Intrusion Detection System fSecurity Protocol Traffic. Abstract. The Internet has emerged as a medium fwide-scale electronic communication
    www.cs.fsu.edu/research/reports/TR-020301.pdf

  • An Intrusion Detection System fGigabit Networks
    DRAFT. 18-09-2003. An Intrusion Detection System fGigabit Networks. (Working paper: describing ongoing work). (Working paper: describing ongoing work)
    www.cs.kent.ac.uk/people/staff/gewt/ids-wp180903.pdf

  • Multidimensional Network Monitoring fIntrusion Detection
    Multidimensional Network. Monitoring. fIntrusion Detection. Vladimir Gudkov and Joseph E. Johnson. Department of Physics and Astronomy
    necsi.org/events/iccs/2002/NAp03_gudkov_iccsFixed02.pdf

  • Intrusion detection in unlabeled data with quarter-sphere Support
    Intrusion detection in unlabeled data with quarter-sphere. Support VectMachines. Pavel Laskov and Christin Schafer. IgKotenko. Fraunhofer-FIRST
    www2.informatik.hu-berlin.de/wm/journalclub/dimva2004.pdf

  • Intrusion Detection and Tracking with Pan-Tilt Cameras
    Arindam Biswas. 1. , Prithwijit Guha. 2. , Amitabha Mukerjee. 1. , K.S. Venkatesh. 2. 1. Dept. of Computer Sc. & Engg., IIT Kanpur, India. arindam,amit
    www.security.iitk.ac.in/contents/repository/papers/pan-tilt.pdf

  • Intrusion Detection Methodologies
    Intrusion Detection Methodologies. A White Paper. By Robert A. Clyde. AXENT Technologies, Inc. 1. The "business problem": Keeping the bad guys out
    www.arcert.gov.ar/webs/textos/idmethods.pdf

  • Service Specific Anomaly Detection fNetwork Intrusion Detection.
    Service Specific Anomaly. Detection fNetwork. Intrusion Detection. Christopher Kruegel, Thomas Toth. and Engin Kirda. chris@infosys.tuwien.ac.at
    www.infosys.tuwien.ac.at//Service_Specific_Anomaly_Detection_for_Network_Intrusion_Detection.pdf

  • A Distributed Intrusion Detection System based on passive sensors
    A Distributed Intrusion Detection System based on passive sensors. The experience of setting up and rolling out a Distributed Intrusion Detection System
    ids.surfnet.nl/downloads/abstract-DIDS.pdf

  • Survey of Intrusion Detection Systems
    Agenda. • Introduction. • Types of intrusions. • IDS characteristics. • IDS principles. • IDS Implementations. • Conclusions
    www.mnlab.cs.depaul.edu/seminar/spr2003/IDS.pdf

  • A Framework fDistributed Intrusion Detection using Interest
    CERIAS Tech Report 2001-44. A Framework fDistributed Intrusion. Detection using Interest-Driven. Cooperative Agents. Rajeev Gopalakrishna
    homes.cerias.purdue.edu/~rgk/papers/2001-44.pdf

  • Implementing Network Intrusion Detection
    Implementing Network Intrusion Detection. Gayle Humphrey. Job Title. WatchIT.com Host. Program Track:. The Game Plan. Program duration:. 47 Minutes
    products.watchit.com/20020803.pdf

  • Systems and Methods fTesting and Evaluating an Intrusion
    WARF: P04220US. Systems and Methods fTesting and Evaluating an. Intrusion Detection System. Network intrusion detection systems (NIDS) alert a system
    www.warf.org/pdfs/P04220US_Summary.pdf

  • Protomatching Network Traffic fHigh Throughput Network
    WARF: P06192US. Protomatching Network Traffic fHigh Throughput. Network Intrusion Detection. Network intrusion detection systems (NIDS) use
    www.warf.org/pdfs/P06192US_Summary.pdf

  • Selecting Features fIntrusion Detection: A Feature Relevance
    Abstract. KDD 99 intrusion detection datasets, which are based on. DARPA 98 dataset, provides labeled data fresearchers
    www.lib.unb.ca/Texts/PST/2005/pdf/kayacik.pdf

  • An EFSM-based intrusion detection system fad hoc networks
    An EFSM-based intrusion detection system for. ad hoc networks. Jean-Marie Orset, Baptiste Alcalde, and Ana Cavalli. Institut National des Telecommunications
    www-lor.int-evry.fr/~anna/Atva_intrusion.pdf

  • Unsupervised learning techniques fan intrusion detection system
    Unsupervised learning techniques fan intrusion. detection system. Stefano Zanero. zanero@elet.polimi.it. Sergio M. Savaresi. savaresi@elet.polimi.it
    www.elet.polimi.it/upload/zanero/papers/IDS-SAC.pdf

  • Network Intrusion Detection Systems
    Pictures reproduced from Ptacek and Newsham. Insertion, Evasion and Denial of Service: Eluding. Network Intrusion Detection. Goal of NIDS
    www.cs.fsu.edu/~breno/CIS-5357/fall2004/detection.pdf

  • Cisco Secure Intrusion Detection Systems (CSIDS) v3.0
    Page 1 of 2. # 100045 Rev. January 2004. ExecuTrain Course Outline. Cisco Secure Intrusion Detection. Systems (CSIDS) v3.0
    www.executrain.com/course/outline/100045-1.pdf

  • An Enhanced Support VectMachine Model fIntrusion Detection
    An Enhanced Support VectMachine Model. fIntrusion Detection. JingTao Yao, Songlun Zhao, and Lisa Fan. Department of Computer Science, University of
    www2.cs.uregina.ca/~jtyao/Papers/Detection_RSKT_rev.pdf

  • 1 Intrusion Detection Systems Sources: • Computer System Intrusion
    1. Intrusion Detection Systems. Sources:. •. Computer System Intrusion Detection: A Survey. by A. K. Jones and R. S. Sielken
    www.eecs.case.edu/courses/eecs444/notes/IntrusionDetectionSystems.pdf

  • Development of Intrusion Detection SensfVehicle Anti-theft
    23. Abstract. The demand fautomobile security devices is high throughout Europe and North America, among other. regions.Automobile insurers, especially
    www.fujitsu-ten.co.jp/english/company/researchdev/gihou/en_pdf/14/14-4.pdf

  • CSCI 7000-001 — Principles of Intrusion Detection
    CSCI 7000-001 — Principles of Intrusion. Detection. December 4, 2001. 1 Motivations. So far, we have studied (mostly) prevention mechanisms.
    www-serl.cs.colorado.edu/~carzanig/edu/csci7000-001/csci7000-001-f01-24.pdf

  • GM Electric Fencing Intrusion Detection System INTRODUCTION TO
    G.M.. Advanced Fencing and Security Technologies Ltd. P.O. Box 2327 Kfar Sava Industrial Area 44425, Israel. Tel +972-9-7662965 Fax + 972-9-7662964
    www.gmsecurity.com/Downloads-gm/Introduction%20to%20GM%20Electric%20Fencing.pdf

  • A Framework fCollection and Management of Intrusion Detection
    A Framework fCollection and Management of Intrusion Detection Data Sets. Benjamin D. Uphoff. Los Alamos National Laboratory. bduphoff@lanl.gov
    www.first.org/conference/2004/papers/c01.pdf

  • GLOBAL CROSSING INTRUSION DETECTION SERVICES
    rof. On the Internet, network intruders are sophisticated navigators. They come from outside the enterprise,. attacking Internet connections, altering Web
    www.globalcrossing.com/docs/enterprise_managed_security/global_crossing_intrusion_detection.pdf

  • Intrusion Detection: Visualizing Attacks in IDS Data
    SANS Institute 2003, Authretains full rights. Key fingerprint = AF19 FA27 2F94 998D FDB5 DE3D F8B5 06E4 A169 4E46. © SANS Institute 2003,
    www.visualinsights.com/Intrusion%20Detection.pdf

  • The University selected the EdgeWall 8800 fits Intrusion
    The University selected the. EdgeWall 8800 fits Intrusion. Detection and Prevention (IDP). capabilities which continuously. inspects and performs threat
    www.verniernetworks.com/products-and-solutions/documents/cs_TAMUK.pdf

  • HC17.S2T3 High-Performance Pattern-Matching Engine fIntrusion
    Zurich Research Laboratory. Hot Chips 17 August 2005. • Presentation subtitle:. 20pt Arial Regular,. teal R045 | G182 | B179. Recommended
    www.hotchips.org/archives/hc17/2_Mon/HC17.S2/HC17.S2T3.pdf

  • A Metrics-Based Approach to Intrusion Detection System Evaluation
    A Metrics-Based Approach to Intrusion Detection System Evaluation. fDistributed Real-Time Systems. Authors: Glenn Fink (finkga@nswc.navy.mil),
    people.cs.vt.edu/~finkga/ids/WPDRTS-abstract-Jan02.pdf

  • Experiences with Tripwire: Using Integrity Checkers fIntrusion
    Experiences with Tripwire:. Using Integrity Checkers fIntrusion Detection. Gene H. Kim and Eugene H. Spafford. COAST Laboratory
    ftp.cerias.purdue.edu/pub/papers/Tripwire/Tripwire-appdev.pdf

  • zOS CS Security: Controlling Broadcast Applications Intrusion
    Copyright International Business Machines Corporation 2004. Al rights reserved. Communications Server z/OS V1R5 and V1R6 Technical Update. zOS CS Security:
    publib.boulder.ibm.com//com.ibm.iea.commserv_v1/commserv/1.6z/security/zOS_CS_Security_Broadcast_IDS.pdf

  • Security Attacks and Intrusion Detection
    Agenda. Security Attacks. Definition. Attack Workflow. Attack Taxonomy. Attack Mitigation. Intrusion Detection. Introduction. IDS Taxonomy. IDS Challenges
    www-users.cs.york.ac.uk/~aservin/docs/attacks_ids.pdf

  • STAT 753 Computer Intrusion Detection Edward J. Wegman
    Computer Intrusion Detection. Focus:. Statistical, Visualization and Some Machine Learning. Techniques. Meeting:. 316 Innovation Hall, 4:30 pm to 7:10 pm,
    www.galaxy.gmu.edu/stats/syllabi/stat753/STAT753_Lecture1.pdf

  • Intrusion Detection Using Datamining Techniques
    Intrusion Detection Using Datamining Techniques. Anshu Veda(04329022). KReSIT,IIT Bombay. Prajakta Kalekar(04329008). KReSIT,IIT Bombay
    www.it.iitb.ac.in/~praj/acads/dm/report.pdf

  • OSSEC-HIDS ( Open Source – Host-based Intrusion Detection System )
    OSSEC-HIDS. (Open Source – Host-based. Intrusion Detection System). Daniel B. Cid (daniel.cid@gmail.com). Ahmet Ozturk (oahmet@metu.edu.tr)
    www.ossec.net/ossec-docs/ossec-hids_oahmet_eng.pdf

  • EMIST Network Intrusion Detection (NID) Tool Manual (Version I)
    Copyright (c) 2006 The Pennsylvania State University. EMIST Network Intrusion Detection (NID). Tool Manual (Version I). J. Wang, D.J. Miller and G. Kesidis
    emist.ist.psu.edu/IDS/EMIST%20NID%20Manual.pdf

  • LNCS 2820 - Characterizing the Performance of Network Intrusion
    G. Vigna, E. Jonsson, and C. Kruegel (Eds.): RAID 2003, LNCS 2820, pp. 155–172, 2003. © Springer-Verlag Berlin Heidelberg 2003
    www.itsec.gov.cn/webportal/download/2003-Characterizing%20the%20Performance%20of%20Network%20Intrusion%20

  • A Distributed Autonomous Agent Network Intrusion Detection and
    A Distributed Autonomous Agent Network Intrusion Detection and Response System. A Distributed Autonomous-Agent Network-Intrusion Detection and Response
    cisr.nps.navy.mil/downloads/98paper_barrus.pdf

  • Anomaly Intrusion Detection using Multi-Objective Genetic Fuzzy
    Date :. Time :. Venue :. Department of Computer Science. City University of Hong Kong. (Departmental Seminar Seminar 2005/2006 - No 12)
    www.cs.cityu.edu.hk/seminars/sem433-2005-2006-no12.pdf

  • Unsupervised Anomaly Intrusion Detection Using Ant Colony
    Date :. Time :. Venue :. Department of Computer Science. City University of Hong Kong. (Departmental Seminar Seminar 2004/2005 - No 50)
    www.cs.cityu.edu.hk/seminars/sem428-2004-2005-no50.pdf

  • Learning intrusion detection: supervised unsupervised?
    Learning intrusion detection:. supervised unsupervised? Pavel Laskov, Patrick Dussel, Christin Schafer and Konrad Rieck. Fraunhofer-FIRST.IDA,
    ida.first.fraunhofer.de/~rieck/docs/iciap2005.pdf

  • INTRUSION DETECTION VIA FUZZY DATA MINING Abstract
    Accepted fPresentation at The. Twelfth Annual Canadian Information Technology. Security Symposium June 19-23, 2000, The Ottawa Congress Centre
    www.cse.msstate.edu/~bridges/papers/canada-00.pdf

  • Project Title: A Soft Computing Technique fAutomatic Intrusion
    Project 1: Improving Snort Based on Signature Evaluation and Classification. (Group Members: 2 to 3). Snort (http://www.snort.org/) is a widely used
    www.cs.queensu.ca/home/cisc499/2007W/Projects/Zulkernine.pdf

  • Dynamic Intrusion Detection Using Self-Organizing Maps I
    Dynamic Intrusion Detection Using Self-Organizing. Maps. Peter Lichodzijewski. piotr@cs.dal.ca. A.Nur Zincir-Heywood. zincir@cs.dal.ca. Faculty of Comp.
    flame.cs.dal.ca/~piotr/CITSS-2k2.pdf

  • eTrust Intrusion Detection: Complete Intrusion Detection
    Complete Intrusion Prevention. TM. eTrust Intrusion Detection delivers comprehensive. network protection capabilities, with built-in,
    www.asiweb.com/products/computer_associates/security/PDF_eTrust_Intr_Detect_PD.pdf

  • Fusepoint chief exec shares his views on security, redundancy and
    Communications & Networking, June 2003, Vol. 6 No. 6. Fusepoint chief exec shares his views on security, redundancy and. intrusion detection
    www.fusepoint.com/english/pdf/Fusepoint%20Chief%20Exec%20Shares%20hi%20Vision.pdf

  • “Low Cost” Network Intrusion Detection
    1. “Low Cost” Network Intrusion Detection. Carol Tayland Jim Alves-Foss. Center fSecure and Dependable Software. University of Idaho, Moscow,
    www.cs.uidaho.edu/~jimaf/docs/nate01.pdf

  • Delay of Intrusion Detection in Wireless SensNetworks
    Delay of Intrusion Detection in Wireless SensNetworks. Olivier Dousse. Deutsche Telekom. Laboratories. Ernst-Reuter Platz 7. 10587 Berlin, Germany
    www.deutsche-telekom-laboratories.de/~dousse/Publications_files/mobihoc06.pdf

  • Intrusion detection systems fIP telephony networks Summary 1
    1. Intrusion detection systems fIP telephony networks. Martin Steinebach*, Frank Siebenhaar. x. , Jana Dittmann. #. ,. Utz Roedig. +. , Ralf Ackermann
    www.ipsi.fraunhofer.de/merit/forschung/papers/RTO_intrusion.pdf

  • Information Collected When You Visit Our Web Site Intrusion
    The Iowa Division of Banking (IDOB) is strongly committed to maintaining the privacy of your personal. information. The following discloses the Division’s
    www.idob.state.ia.us/bank/docs/privacy_policy.pdf

  • Microsoft PowerPoint - Intrusion detection presentation
    1. Intrusion Detection Systems. Oussama El-Rawas. History and Concepts of IDSs. Overview. ●. A brief description about the history of
    www.csee.wvu.edu/~cukic/Security/StP_Intrusion.pdf

  • An Evaluation of Fib er Optic Intrusion Detection Systems in
    SANDIA REPORT. SAND94--O020. • UC-706. Unlimited Release. Printed March 1994. I. An Evaluation of Fiber Optic. Intrusion Detection Systems
    www.osti.gov/bridge/servlets/purl/142538-gwSsVj/native/142538.pdf

  • Intrusion Detection - Introduction and Outline
    17.06.2004. Department of Communication Systems / FTK. 2. Talk Outline. Motivation. Intrusions. Intrusion Prevention. Intrusion Detection
    ks.fernuni-hagen.de/aktivitaeten/praesentationen/pubs/Intrusion_Detection.pdf

  • Lifetime-Aware Intrusion Detection under Safeguarding Constraints
    Lifetime-Aware Intrusion Detection under. Safeguarding Constraints. Ali Iranli, Hanif Fatemi, Massoud Pedram. Dept. of Electrical Engineering
    atrak.usc.edu/~massoud/Papers/lids-ipsn05.pdf

  • The Science of Intrusion Detection System Attack Identification
    Cisco Systems, Inc. All contents are Copyright © 1992–2002 Cisco Systems, Inc. All rights reserved. Important Notices and Privacy Statement. Page 1 of 4
    peter.its.me.cnr.it/net/idssa_wp.pdf

  • INTRUSION DETECTION ALARM CORRELATION: A SURVEY
    INTRUSION DETECTION ALARM CORRELATION: A SURVEY. Urko Zurutuza, Roberto Uribeetxeberria. Computer Science Department, Mondragon University
    www.eps.mondragon.edu/investigacion/secgroup/archivos/2004_12.IADAT_Correlation_Survey.pdf

  • A Hierarchical Anomaly Network Intrusion Detection System using
    A Hierarchical Anomaly Network Intrusion Detection System. using Neural Network Classification. ZHENG ZHANG, JUN LI, C. N. MANIKOPOULOS, JAY JORGENSON and
    web.njit.edu/~manikopo/papers/published/wses2001final.pdf

  • Neural Networks in Statistical Anomaly Intrusion Detection
    Neural Networks in Statistical Anomaly Intrusion Detection. ZHENG ZHANG, JUN LI, C. N. MANIKOPOULOS, JAY JORGENSON and JOSE UCLES
    web.njit.edu/~manikopo/papers/published/cscc01-final.pdf

  • Firestorm Network Intrusion Detection System
    Firestorm Network Intrusion Detection. System. John Leach. john@ecsc.co.uk. Gianni Tedesco. gianni@scaramanga.co.uk. Page 2
    www.scaramanga.co.uk/firestorm/documentation/firestorm-doc.pdf

  • Traffic Analysis: From Stateful Firewall to Network Intrusion
    1. Traffic Analysis: From Stateful Firewall to Network. Intrusion Detection System. Fanglu Guo. Tzi-cker Chiueh. Computer Science Department
    www.ecsl.cs.sunysb.edu/tr/packet_analysis_final.pdf

  • DRAGON 6.0 INTRUSION DETECTION SYSTEM Data Sheet
    DRAGON 6.0 INTRUSION DETECTION SYSTEM. Data Sheet. Security and Intrusion Detection fEnterprise Networks. Designed specifically to meet the unique
    www.indevis.de/dokumente/enterasys_ids.pdf

  • Towards an Artificial Immune System fNetwork Intrusion
    Towards an Artificial Immune System fNetwork Intrusion Detection:. An Investigation of Dynamic Clonal Selection. Jungwon Kim
    www.cs.ucl.ac.uk/staff/J.Kim/pub/CEC2002.pdf

  • Flexible, Mobile Agent based Intrusion Detection fDynamic Networks.
    Flexible, Mobile Agent based. Intrusion Detection for. Dynamic Networks. Christopher Kruegel and Thomas Toth. chris@infosys.tuwien.ac.at
    www.infosys.tuwien.ac.at//Flexible_Mobile_Agent_based_Intrusion_Detection_for_Dynamic_Networks.pdf

  • The Future of Intrusion Detection and Prevention
    CHAPTER. 17. The Future of Intrusion. Detection and. Prevention. 345. Hacking Incident / Intrusion Detection & Prevention / Endorf, Schultz,
    searchsecurity.techtarget.com/searchSecurity/downloads/IDP_Ch17.pdf

  • Using Adaptive Alert Classification to Reduce False Positives in
    Using Adaptive Alert Classification to Reduce. False Positives in Intrusion Detection. Tadeusz Pietraszek. IBM Zurich Research Laboratory
    tadek.pietraszek.org/publications/pietraszek04_using.pdf

  • An Intrusion-Detection Model
    1. An Intrusion-Detection Model. DOROTHY E. DENNING. IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, VOL. SE-13, NO. 2, FEBRUARY 1987,. 222-232.
    www.laas.fr/METROSEC/DOC/An%20Intrusion-Detection%20Model%20.pdf

  • 4 Beam Omni-directional Wireless LAN Intrusion Detection and
    Copyright 2006, Oberon, Inc. www.oberonwireless.com. 4 Beam Omni-directional Wireless LAN Intrusion Detection and. Location System (OMNI-WIDLS™) fOutdo
    www.oberonwireless.com/OMNI-%20WIDLS_outdoors.pdf

  • Intrusion detection with Debian GNU/Linux Introduction
    LinuxFocus article number 274. http://linuxfocus.org. by José SalvadGonzález. Rivera. <jsgr(at)tec.com.mx>. About the author:. José SalvadGonzález
    tldp.org/linuxfocus/English/Archives/lf-2003_01-0274.pdf

  • Distributed Intrusion Detection and Attack Containment f
    Distributed Intrusion Detection and Attack Containment fOrganizational Cyber Security. Stephen G. Batsell. 1. , Nageswara S. Rao
    www.ioc.ornl.gov/projects/documents/containment.pdf

  • Comparing Classic Intrusion Detection Test Data against Data Found
    Comparing Classic Intrusion Detection Test Data against Data Found in the Wild. Matthew Morgan and Scott Campbell. Office of Science, SULI Program
    www.nersc.gov/~scottc/papers/LL_data_anal.pdf

  • Hypothesizing and Reasoning about Attacks Missed by Intrusion
    Hypothesizing and Reasoning about Attacks. Missed by Intrusion Detection Systems. PENG NING and DINGBANG XU. North Carolina State University
    discovery.csc.ncsu.edu/pubs/tissec04-Ning&Xu.pdf

  • Word Pro - Intrusion detection data collection and analysis-Final2.lwp
    Abstract. Identifying intrusions, misuses, and attacks in. general, require that systems be monitored fanoma-. lous behavior. This includes the online
    www.cs.albany.edu/~erbacher/publications/IntrusionDataCollectionAnalysis.pdf

  • Intrusion Detection Using EtherPeek NX and EtherPeek
    Intrusion Detection Using EtherPeek NX and EtherPeek. Page 1. A WildPackets Academy Tutuorial. Intrusion Detection Using EtherPeek NX and EtherPeek
    www.wildpackets.com/elements/tutorials/IntrusionDetection.pdf

  • Incremental Bayesian Segmentation fIntrusion Detection Joseph R
    Incremental Bayesian Segmentation fIntrusion. Detection. by. Joseph R. Hastings. Submitted to the Department of Electrical Engineering and Computer
    groups.csail.mit.edu/medg/ftp/hastings/IBS.pdf

  • Using Static Program Analysis to Aid Intrusion Detection
    Using Static Program Analysis. to Aid Intrusion Detection. Manuel Egele, Martin Szydlowski, Engin Kirda, and Christopher Kruegel
    www.seclab.tuwien.ac.at/papers/dimva.pdf

  • Combining fraud and intrusion detection - meeting new requirements -
    1. Abstract. This paper studies the area of fraud detection in the. light of existing intrusion detection research. Fraud. detection and intrusion detection
    www.ce.chalmers.se/~emilie/papers/Kvarnstrom_nordsec2000.pdf

  • Network Security CS 192/286 Secure Architectures and Intrusion
    Jonathan Stanton. 1. Spring 2006 / Lecture 13. Network Security. CS 192/286. Secure Architectures and. Intrusion Detection. Department of Computer Science
    www.ensl.cs.gwu.edu/cs-netsec/CS-NetSec?action=AttachFile&do=get&target=lecture13.pdf

  • Intrusion Detection System SensPROTECTION PROFILE (PP), Version
    Intrusion Detection System Sensor. Protection Profile. Version 1.1. December 10, 2001. Prepared for. National Security Agency. 9800 Savage Road
    www.commoncriteriaportal.org/public/files/ppfiles/pp_idssepp_v1.1.pdf

  • Intrusion Detection System Scanner PROTECTION PROFILE (PP
    Intrusion Detection System Scanner. Protection Profile. Version 1.1. December 10, 2001. Prepared for. National Security Agency. 9800 Savage Road
    www.commoncriteriaportal.org/public/files/ppfiles/pp_idsscpp_v1.1.pdf

  • Tripwire Intrusion Detection System 1.3 fLINUX User Manual
    2. COPYRIGHT NOTICE. All files in this distribution of Tripwire. ®. are Copyright 1992-1998 by the Purdue Research. Foundation of Purdue University and are
    hires.physics.utah.edu/miscfiles/idsl_1_3.pdf

  • Intrusion Detection: Principles and Practice – Vern Paxson Why
    Intrusion Detection: Principles and Practice – Vern Paxson. Why Network Intrusion Detection? Why Not? Styles of Approaches
    www.supercomp.org/sc2003/archive/sc2003final/paperpdfs/M10_Out.pdf

  • Early statistical anomaly intrusion detection of dos attacks using
    Proceedings of. the. 2003. IEEE. Workshop on Information Assurance. United States Military. Academy, West Point, NY June
    www.cse.ohio-state.edu/~lina/reading/modeling/dos/Early%20Statistical%20Anomaly%20Intrusion%20Detection.pdf

  • On-the-fly Intrusion Detection fWeb Portals (draft)
    On-the-fly Intrusion Detection fWeb Portals. (draft). Radu Sion. Computer Sciences & CERIAS. Purdue University. (sion@cs.purdue.edu). Mikhail Atallah
    www.cs.sunysb.edu/~sion/research/sion2002idss-itcc.pdf

  • A Target-Centric Ontology fIntrusion Detection
    A Target-Centric Ontology fIntrusion Detection. John Pinkston, Jeffrey Undercoffer, Anupam Joshi and Timothy Finin
    www.umbc.edu/~finin/papers/ijcai03ontologyWorkshop.pdf

  • Correlation in an intrusion detection process
    septembre. 2002. –. SEcurite. des. Communications. sur. Internet–. SECI02. Correlation in an intrusion detection process. Frederic Cuppens. , Fabien Autrel
    www.lsv.ens-cachan.fr/~goubault/SECI-02/Final/actes-seci02/pdf/014-cuppens.pdf

  • UNITE: Uniform hardware-based Network Intrusion deTection Engine
    UNITE: Uniform hardware-based Network. Intrusion deTection Engine. S. Yusuf and W. Luk and M. K. N. Szeto and W. Osborne
    www.diadem-firewall.org/publications/arc06.pdf

  • Next Generation Intrusion Detection System
    CCAT Client: AIRSIS. Next Generation Intrusion Detection System. Technology Explanation. • Combined sensand satellite communications
    www.ccatsandiego.org/quads/quad_AIRSIS.pdf

  • An Intrusion Detection System fGigabit Networks
    Computer Science at Kent. An Intrusion Detection System for. Gigabit Networks – Architecture and an. example system. Gerald Tripp. Technical Report No. 7-04
    www.cs.kent.ac.uk/pubs/2004/1893/content.pdf

  • Intrusion Detection
    UTMB INFORMATION RESOURCES PRACTICE STANDARD. Section 1. Security Management. 09/03/02. -Effective. Subject 1. Monitoring and Compliance. -Revised
    https://jobs.utmb.edu/is/policy/Search/ps112_11-10-03.pdf

  • Flexible, Mobile Agent Based Intrusion Detection fDynamic Networks
    Flexible, Mobile Agent Based Intrusion Detection fDynamic Networks. Christopher Krügel. Thomas Toth. Distributed Systems Group, Technical University
    www2.ing.unipi.it/ew2002/proceedings/081.pdf

  • Intrusion Detection Outline Intrusion Detection History Some
    1. Intrusion Detection. CS 161/194-1. Anthony D. Joseph. September 14, 2005. September 14, 2005. CS161 Fall 2005. Joseph/Tygar/Vazirani/Wagner
    https://www-inst.eecs.berkeley.edu/~cs161/fa05/Notes/cs161.0914.pdf

  • Alarm Reduction and Correlation in Intrusion Detection Systems
    Alarm Reduction and Correlation in Intrusion. Detection Systems. Tobias Chyssler. 1. , Stefan Burschka. 2. , Michael Semling. 2. , Tomas Lingvall
    www.ida.liu.se/~rtslab/publications/2004/Chyssler04_DIMVA.pdf

  • Wireless Intrusion Detection
    IBM Global Services. April 2003. Wireless Intrusion Detection. Dr. Joshua Lackey, PhD. Andrew Roths. Jim Goddard, CISSP
    www.forum-intrusion.com/wireless_intrusion_detection.pdf

  • A Framework fthe Evaluation of Intrusion Detection Systems
    A Framework fthe Evaluation of Intrusion Detection Systems. Alvaro A. Cardenas John S. Baras Karl Seamon. ∗. Department of Electrical and Computer
    www.glue.umd.edu/~acardena/Papers/Oakland06.pdf

  • A Distributed Intrusion Detection Approach fSecure Software
    A Distributed Intrusion Detection Approach for. Secure Software Architecture. Paola Inverardi and Leonardo Mostarda. Dip. di Informatica, Universit`a di
    www.di.univaq.it/mostarda/sito/articoli/MEGFF5HAHRKB7VKQ.pdf

  • Multi-agent technologies fcomputer network security: Attack
    1. INTRODUCTION. During the last few years the computer network security. remains a problem of great concern within information tech-. nology research area.
    space.iias.spb.su/ai/publications/2003-gorodetsky-kotenko-karsaev-MAT.for.CNS.pdf

  • Using Data Mining fSyslog-based Denial-of-Service and Intrusion
    Database Tools fSyslog-based Intrusion Detection. Your Name Here. The University of Iowa, Iowa City, IA. aaa@bbb.com. Introduction
    www.cs.uiowa.edu/~rlawrenc/teaching/244/Project/Samples/Proposal/Intrusion_Proposal.pdf

  • UNSUPERVISED FUZZY ENSEMBLES APPLIED TO INTRUSION DETECTION
    UNSUPERVISED FUZZY ENSEMBLES. APPLIED TO INTRUSION DETECTION. Paul F. Evangelista. 1. , Piero Bonissone. 2. , Mark J. Embrechts
    www.rpi.edu/~bonisp/NASA-course/evangelista_esann.pdf

  • Log Correlation fIntrusion Detection: A Proof of Concept
    National Center fSupercomputing Applications. The Design of VisFlowConnect-IP:. a Link Analysis System fIP Security. Situational Awareness
    www.iwia.org/2005/Yin2005.pdf

  • Zürcher Kantonalbank - Even better security with a new intrusion
    _Application Development. _Application Performance Management. _Business Communication. _Business Intelligence. _Managed Services. _Security _Training
    www.trivadis.com/Images/050615_ZKB_englisch_tcm18-14344.pdf

  • Performance of FPGA Implementation of Bit-split Architecture f
    Performance of FPGA Implementation of Bit-split Architecture. fIntrusion Detection Systems. Hong-Jip Jung, Zachary K. Baker and ViktK. Prasanna
    halcyon.usc.edu/~zbaker/zbakerUSCraw.pdf

  • Autonomous Agent Based Distributed Fault-Tolerant Intrusion
    2. Department of Computer Science and Engineering,. Indian Institute of Technology, Kharagpur-721302, INDIA. 1. sen_jaydip@yahoo.com,. 2. isg@iitkgp.ac.in
    www.facweb.iitkgp.ernet.in/~isg/PAPERS/icdcit05-jaydip.pdf

  • Dynamic Modeling of Internet Traffic fIntrusion Detection
    Dynamic Modeling of Internet Traffic fIntrusion. Detection. E. Jonckheere, K. Shah and S. Bohacek. University of Southern California,
    eudoxus.usc.edu/IW/dynamic.pdf

  • Access Control from an Intrusion Detection Perspective
    Access Control from an Intrusion Detection. Perspective. 1. Virginia Nunes Leal Franqueira. Centre fTelematics and Information Technology, University of
    wwwhome.cs.utwente.nl/~franqueirav/Publication/AccessReport.pdf

  • Network Intrusion Detection Using an Improved Competitive Learning
    Network Intrusion Detection Using. an Improved Competitive Learning Neural Network. John Zhong Lei and Ali Ghorbani. Faculty of Computer Science
    www.cs.unb.ca/profs/ghorbani/ali/papers/leij-Intrusion-cnsr2004.pdf

  • A Game Theoretic Approach to Decision and Analysis in Network
    A Game Theoretic Approach to Decision and Analysis. in Network Intrusion Detection. 1. Tansu Alpcan and Tamer Basar. Coordinated Science Laboratory
    decision.csl.uiuc.edu/~tbasar/cdc03-intrusion.pdf

  • Wireless SensNetworks fIntrusion Detection: Packet Traffic
    IEEE COMMUNICATIONS LETTERS, EXTENDED ABSTRACT. 1. Wireless SensNetworks fIntrusion Detection:. Packet Traffic Modeling
    www.cmpe.boun.edu.tr/~ilker/IlkerDEMIRKOL_COMML_ext_abstract.pdf

  • The Starfish System: Providing Intrusion Detection and Intrusion
    The Starfish System: Providing Intrusion Detection and. Intrusion Tolerance fMiddleware Systems. Kim Potter Kihlstrom
    homepage.westmont.edu/kimkihls/WORDS03.pdf

  • Learning Symbolic User Models fIntrusion Detection: A Method
    Learning Symbolic User Models fIntrusion. Detection: A Method and Initial Results. Ryszard S. Michalski. 1,2. , Kenneth A. Kaufman
    www.mli.gmu.edu/papers/2006/06-5.pdf

  • Aspects of Adapting Data Collection to Intrusion Detection
    T. HESIS FTHE DEGREE OF. L. ICENTIATE OF. E. NGINEERING. Aspects of Adapting Data Collection to. Intrusion Detection. ULF LARSON
    www.ce.chalmers.se/~ulfla/LIC.pdf

  • INTRUSION DETECTION IDENTITY MANAGEMENT USING BIOMETRIC SYSTEMS
    Book & Pay by the Early Bird date to SAVE up to $695. 26 - 28 JULY 2006. Rydges Lakeside CANBERRA. FEATURING CASE STUDIES & PRESENTATIONS FROM:
    www.iir.com.au/user_pages/conf/pdf/I0352.pdf

  • Spitfire Intrusion Detection Environment User Guide
    Page ii. Version 5.0. Printed 8/3/01. Table of Contents. 1. Introduction.1
    downloads.openchannelsoftware.org/Spitfire/Handbook_v5.pdf

  • ProtoMon: Embedded Monitors fCryptographic Protocol Intrusion
    Published in 2004 IEEE Conference on Information Technology: Coding and Computing (ITCC). 81. ProtoMon: Embedded Monitors fCryptographic Protocol
    cops.csci.unt.edu/publications/2003-04/2003-04.pdf

  • Cable & Wireless Intrusion Detection and Response service info
    Ensure prompt detection of any potential intrusion security. attack and provide the rapid response necessary to minimise. the impact on your business.
    www.owlriver.com/issa/CandW-intrusion_detection.pdf

  • BITWISE OPTIMISED CAM FNETWORK INTRUSION DETECTION SYSTEMS
    BITWISE OPTIMISED CAM FNETWORK INTRUSION DETECTION SYSTEMS. Sherif Yusuf. ∗. and Wayne Luk. Department of Computing, Imperial College London,
    www.diadem-firewall.org/publications/fpl05.pdf

  • Data Mining fNetwork Intrusion Detection
    Data Mining fNetwork. Intrusion Detection. S Terry Brugger. UC Davis. Department of Computer Science. Data Mining fNetwork Intrusion Detection – p.1/
    www.bruggerink.com/~zow/papers/dmnid_qualpres.pdf

  • PAID: A Probabilistic Agent-Based Intrusion Detection System
    PAID: A Probabilistic Agent-Based Intrusion. Detection System. Vaibhav Gowadia Csilla Farkas Marco Valtorta. Information Security Laboratory
    www.cse.sc.edu/research/isl/Publications/paid.pdf

  • Active Platform Security through Intrusion Detection Using Naïve
    1. Active Platform Security through Intrusion Detection Using Naïve. Bayesian Network fAnomaly Detection. Abdallah Abbey Sebyala. †. , Temitope Olukemi
    www.ee.ucl.ac.uk/lcs/papers2002/LCS116.pdf

  • A Software Fault Tree Approach to Requirements Analysis of an
    A Software Fault Tree Approach to Requirements. Analysis of an Intrusion Detection System. £. Guy Helmer, Johnny Wong, Mark Slagell, Vasant Honavar,
    www.sreis.org/old/2001/papers/sreis005.pdf

  • A Queuing Formulation of Intrusion Detection with Active and
    1. A Queuing Formulation of Intrusion Detection. with Active and Passive Responses. Wei T. Yue, Metin Cakanyildirim, Young U. Ryu
    www.cse.buffalo.edu/caeiae/skm2004/presentation_slides/A-Sessions/2A-01-Yue/2A-01-Yue_.pdf

  • Using Genetic Algorithm fNetwork Intrusion Detection Wei Li
    Using Genetic Algorithm fNetwork Intrusion Detection. Wei Li. Department of Computer Science and Engineering. Mississippi State University, Mississippi
    www.security.cse.msstate.edu/docs/Publications/wli/DOECSG2004.pdf

  • Intrusion Detection by Backpropagation Neural Networks with Sample
    International Journal of Computational Intelligence Research. ISSN 0973-1873 Vol.3, No. 1 (2007), pp. 6-10. © Research India Publications http://www.ijcir.
    www.ripublication.com/ijcirv3/ijcirv3n1_2.pdf

  • A Domain-specific Language fIntrusion Detection
    A Domain-specific Language fIntrusion Detection. Diomidis Spinellis and Dimitris Gritzalis. May 30, 2000. Abstract
    www.dmst.aueb.gr/dds/pubs/conf/2000-CCS-DSLID/html/paper.pdf

  • Panoptis: Intrusion Detection using a Domain-specific Language
    Panoptis: Intrusion Detection using a Domain-specific. Language. £Ý. Diomidis Spinellis. Þ. and Dimitris Gritzalis. Ü. June 19, 2002. Abstract
    www.dmst.aueb.gr/dds/pubs/jrnl/2002-JCS-Panoptis/html/paper.pdf

  • A Neural Network Based System fIntrusion Detection and
    148-04. Abstract-- With the rapid expansion of computer networks. during the past decade, security has become a crucial issue for. computer systems.
    www.cs.queensu.ca/~moradi/148-04-MM-MZ.pdf

  • 1 Intrusion Detection System deployment Methodology
    1. Intrusion Detection System deployment Methodology. Its almost ten years since the firewall became the foremost security tool fnetwork. administrators.
    www.loud-fat-bloke.co.uk/tools/idsmethv7.pdf

  • High-Performance Pattern-Matching fIntrusion Detection
    High-Performance Pattern-Matching. fIntrusion Detection. Jan van Lunteren. IBM Research, Zurich Research Laboratory. CH-8803 Ruschlikon, Switzerland
    security.riit.tsinghua.edu.cn/seminar/2006_5_25/30_03.PDF

  • Computer Intrusion Detection Based on Bayes Factors fComparing
    Computer Intrusion Detection. Based on Bayes Factors for. Comparing Command Transition. Probabilities. William DuMouchel. Technical Report Number 91
    www.niss.org/technicalreports/tr91.pdf

  • A Hybrid High-order Markov Chain Model fComputer Intrusion
    A Hybrid High-order Markov. Chain Model fComputer. Intrusion Detection. W-H Ju and Y. Vardi. Technical Report Number 92. February, 1999
    www.niss.org/technicalreports/tr92.pdf

  • Intrusion Detection vs. Intrusion Prevention: The difference and
    ©2005 Latis Networks, Inc. (d.b.a. StillSecure). All rights reserved. Page 1 of 4. Intrusion Detection vs. Intrusion Prevention:
    www.stillsecure.com/docs/StillSecure_CyberDefense_IPS_v_IDS_0304.pdf

  • Fast and Scalable Pattern Matching fNetwork Intrusion Detection
    1. Fast and Scalable Pattern Matching for. Network Intrusion Detection Systems. Sarang Dharmapurikar, and John Lockwood, Member IEEE
    www.arl.wustl.edu/~sarang/jsac_cameraready.pdf

  • Title of the presentation: SVM Classification f802.11 Wireless
    Title of the presentation:. SVM Classification f802.11 Wireless Intrusion Detection System Based. on MAC Layer frame Clustering. Author:
    www.iee.org/Events/SM_MarshallZhou.pdf

  • ProtoMon: Embedded Monitors fCryptographic Protocol Intrusion
    ProtoMon: Embedded Monitors fCryptographic Protocol. Intrusion Detection and Prevention. Sachin P. Joglekar. (University of North Texas, Denton, TX
    www.cs.unt.edu/~srt/papers/protomon-jucs.pdf

  • A Bayesian Game Approach fIntrusion Detection in Wireless Ad
    A Bayesian Game Approach fIntrusion Detection in. Wireless Ad Hoc Networks. ∗. Yu Liu. Department of Electrical and. Computer Engineering
    www.ece.stevens-tech.edu/~ccomanic/gamenets_acm.pdf

  • The Tao of Network Intrusion Detection
    Overview of Firestorms. Architecture. ●. Firestorm is a data-processing pipeline like. any other. ●. That is to say, network packets get stuffed in
    scaramanga.co.uk/words/hpl-2004-01-23.pdf

  • I FS: An In-Kernel Integrity Checker and Intrusion Detection File
    I. 3. FS: An In-Kernel Integrity Checker and Intrusion Detection File System. Swapnil Patil, Anand Kashyap, Gopalan Sivathanu, and Erez Zadok
    www.am-utils.org/docs/i3fs/i3fs.pdf

  • I.T. DIVISION TANDARD DMINISTRATIVE ROCEDURES Intrusion Detection
    I.T. DIVISION. S. TANDARD. A. DMINISTRATIVE. P. ROCEDURES. Intrusion Detection. 1. General. Intrusion detection plays an important role in implementing and
    www.wtamu.edu/policies/documents/pdfs/security/intrustion_detection.pdf

  • Data Mining and Machine Learning—Towards Reducing False Positives
    Data Mining and Machine Learning—Towards Reducing False Positives. in Intrusion Detection. ∗. Tadeusz Pietraszek. a. and Axel Tanner
    tadek.pietraszek.org/publications/pietraszek05_data.pdf

  • Network Intrusion Detection System with Data Mart
    Network Intrusion Detection System with Data Mart. R. A. Wasniowski. Computer Science Department. California State University Dominguez Hills
    ww1.ucmss.com/books/LFS/CSREA2006/SAM5054.pdf

  • Novel Evaluation Framework of Intrusion Detection Systems with
    Novel Evaluation Framework of Intrusion Detection Systems. with Respect to Security Policies. Negmat Mullodzhanov. Computer Science. Graduate Center, CUNY
    ww1.ucmss.com/books/LFS/CSREA2006/DMI8166.pdf

  • Host-Based Intrusion Detection Using Self-Organizing Maps
    Host-Based Intrusion Detection Using Self-Organizing Maps. Peter Lichodzijewski, A. Nur Zincir-Heywood, Member, IEEE, Malcolm I. Heywood, Member, IEEE
    users.cs.dal.ca/~mheywood/X-files/Publications/PeterSOM-ids.pdf

  • LNCS 2724 - A Linear Genetic Programming Approach to Intrusion
    E. Cantú-Paz et al. (Eds.): GECCO 2003, LNCS 2724, pp. 2325–2336, 2003. © Springer-Verlag Berlin Heidelberg 2003. A Linear Genetic Programming Approach to
    users.cs.dal.ca/~mheywood/X-files/Publications/27242325.pdf

  • By Aaron and Demetrios Intrusion Detection Systems (IDS)
    By Aaron and Demetrios. Intrusion Detection Systems (IDS). IDS detect attacks against your network by generating alarms when they observe an
    www.crazylinux.net/downloads/projects/IDS.pdf

  • An Agent Based Intrusion Detection and Response System f
    An Agent Based Intrusion Detection and. Response System fWireless LANs. By. Mohan K Chirumamilla. A master’s project presented to the faculty of the
    homestead.unl.edu/netgroup/alumnidocs/mchirumamilla.pdf

  • Distributed Anomaly-based Intrusion Detection System Judit Gyimesi
    Distributed Anomaly-based Intrusion Detection System. Judit Gyimesi. Budapest University of Technology and Economics. Intrusion Detection Systems (IDS) are
    https://nws.niif.hu/ncd2005/docs/aen/066.pdf

  • BioTracker , Biometrics based Intrusion Detection System
    BioTracker. 1. , Biometrics based Intrusion Detection System. Ahmed Awad E. A. and Issa Traore, ISOT Research Lab, University of Victoria
    www.engr.uvic.ca/~forum/abstracts/aahmed.pdf

  • Motif-oriented Representation of Sequences fa Host- based
    Motif-oriented Representation of Sequences fa Host-. based Intrusion Detection System. Gaurav Tandon, Debasis Mitra, and Philip K. Chan
    www.cs.fit.edu/~pkc/papers/ieaaie04.pdf

  • Interval and Fuzzy Techniques in Business-Related Computer
    Interval and Fuzzy Techniques in. Business-Related Computer Security:. Intrusion Detection, Privacy Protection. Mohsen Beheshti. 1. , Jianchao Han
    www.cs.utep.edu/vladik/2006/tr06-22.pdf

  • SECURE ROUTING IN AD HOC NETWORKS AND A RELATED INTRUSION
    SECURE ROUTING IN AD HOC NETWORKS AND A RELATED INTRUSION. DETECTION PROBLEM. Wensheng Zhang, R. Rao, Guohong Cao, and George Kesidis
    mcn.cse.psu.edu/paper/zhang/milicom03-security.pdf

  • EVALUATION OF INTRUSION DETECTION TECHNOLOGIES FHIGH SPEED RAIL
    EVALUATION OF INTRUSION DETECTION TECHNOLOGIES. FHIGH SPEED RAIL GRADE CROSSINGS. Final Report. by. Dr. J.R. Zaworski and Dr. K M. Hunter-Zaworski
    www.oregon.gov/ODOT/TD/TP_RES/docs/Reports/EvalIntrusionDetcTech.pdf

  • Collaba tive Intrusion Detection
    Collabor. a. tive. Intrusion. Detection. 010. 011. 101010011001110101. 110100001. XXX. XX. XX. Columbia. University. Intrusion. Detection
    worminator.cs.columbia.edu/papers/2004/cs25th-20041022.pdf

  • NSOM: A Real-Time Network-Based Intrusion Detection System Using
    NSOM: A Real-Time Network-Based Intrusion. Detection System Using Self-Organizing Maps. Khaled Labib and Rao Vemuri. Department of Applied Science
    www.cs.ucdavis.edu/~vemuri/papers/som-ids.pdf

  • Techniques fImproving the Performance of Signature-Based
    Techniques fImproving the Performance of. Signature-Based Network Intrusion Detection Systems. By. PATRICK STUART WHEELER
    www.cs.ucdavis.edu/research/tech-reports/2006/CSE-2006-18.pdf

  • Intrusion Detection System
    Intrusion Detection System. Customizable Network Intrusion Detection Component. Overview. Network attacks and threats are becoming. more common and complex.
    www.ashleylaurent.com/documents/intrusion_detection.pdf

  • Distributed Intrusion Detection fPolicy-Controlled
    1. Proceedings of the 2002 IEEE. Workshop on Information Assurance and Security. T1B2. 1555. United States Military Academy, West Point, NY, 17–19 June 2002
    www.wolthusen.com/publications/IAW2002.pdf

  • HyperSpector: Virtual Distributed Monitoring Environments f
    HyperSpector: Virtual Distributed Monitoring. Environments fSecure Intrusion Detection. Kenichi Kourai. Department of Mathematical and
    www.csg.is.titech.ac.jp/paper/kourai-vee2005.pdf

  • Intrusion Detection and Prevention f802.11 Wireless LANs
    January Highlights. • Wireless IDS will soon. become vital to large. enterprise wireless LANs –. majinfrastructure vendors. know this and are set to
    img.lightreading.com/uni/pdf/0104toc.pdf

  • Intrusion Detection
    Introduction. Network Intrusion Detection Systems (IDS). are used to monitattempts (successful. otherwise) to use remote exploits .
    www.ja.net/services/events/archive/2000/protecting-network/nlpresentation.pdf

  • A System fPower-aware Agent-based Intrusion Detection (SPAID
    A System fPower-aware Agent-based Intrusion. Detection (SPAID) in Wireless Ad Hoc Networks. T.Srinivasan. 1. , Jayesh Seshadri
    www.cs.utexas.edu/~jayeshs/SPAID.pdf

  • INTRUSION DETECTION SYSTEM
    SecoShield v3.1 is a network-based, real-time, 'reactive' intrusion detection and. response system that provides unmatched security performance.
    www.infosec.co.kr/english/documentation/secoshield31_brochure.pdf

  • Intrusion Detection Intrusion Detection Intrusion Detection
    File Name: snort4-latest.doc. 1. Intrusion Detection. Intrusion Detection. Intrusion Detection. Intrusion Detection –– 1.1
    www.entropy.ie/research/snort4-latest.pdf

  • Indra: A peer-to-peer approach to network intrusion detection and
    Indra: A peer-to-peer approach to network intrusion. detection and prevention. Ramaprabhu Janakiraman. Marcel Waldvogel. Qi Zhang
    www.inf.uni-konstanz.de/disy/publications/waldvogel/janakiraman03indra.pdf

  • Intrusion Detection Policies fIT Security Breaches Hulisi Ogut
    Intrusion Detection Policies fIT Security Breaches. Hulisi Ogut, Srinivasan Raghunathan. Huseyin Cavusoglu. School of Management
    www.utdallas.edu/~ogut/WITS2003.PDF

  • Randomly Roving Agents fIntrusion Detection
    Randomly Roving Agents fIntrusion. Detection. Ira S. Moskowitz. y. , Myong H. Kang. z. , LiWu Chang, & Garth E. Longdon
    chacs.nrl.navy.mil/publications/CHACS/2001/2001moskowitz-rra.pdf

  • New Intrusion Detection Strategies by the use of Partial Outsourcing
    New Intrusion Detection Strategies. by the use of Partial Outsourcing. Implemented in the ASCap Framework. Jorg Abendroth. Distributed Systems Group
    https://eldorado.uni-dortmund.de/bitstream/2003/22795/1/AbendrothSlides.pdf

  • Intrusion detection in unlabeled data with quarter-sphere Support
    Intrusion detection in unlabeled data with. quarter-sphere Support VectMachines. Pavel Laskov. Christin Schäfer. IgKotenko. Fraunhofer FIRST.IDA
    https://eldorado.uni-dortmund.de/bitstream/2003/22808/1/LaskovSlides.pdf

  • Network Intrusion Detection & Active-Response System
    NIRS. Network Intrusion Detection &. Active-Response System. EXECUTIVE SUMMARY. MSc DCNDS Group 4. Department of Computer Science, University College London
    www.cs.ucl.ac.uk/teaching/dcnds/group-reports/2003/2003-hailes-b-summary.pdf

  • Storage-Based Intrusion Detection fStorage Area Networks (SANs)
    Storage-Based Intrusion Detection. fStorage Area Networks (SANs). Mohammad Banikazemi. Dan Poff. Bulent Abali. Thomas J. Watson Research Center
    storageconference.org/2005/papers/11_BanikazemiM_storagebased.pdf

  • The Use of Network Intrusion Detection System
    The Use of Network Intrusion Detection System. by: YY Ngai, 10/25/2004. http://www.securitydocs.com/library/2650. About the author:
    www.securitydocs.com/pdf/2650.PDF

  • Intelligent Distributed Intrusion Detection Systems
    Intelligent Distributed Intrusion Detection Systems. by: Rajesh T Sivanandan, 10/14/2004. http://www.securitydocs.com/library/2641. Abstract
    www.securitydocs.com/pdf/2641.PDF

  • Router-Based Intrusion Detection with Soft Computing
    AU J.T. 6(2): 109-114 (Oct. 2002). 109. Fuzzy Intrusion Detection System. Piyakul Tillapart, Thanachai Thumthawatworn and Pratit Santiprabhob
    www.journal.au.edu/au_techno/2003/jan2003/aujt6-3_article01.pdf

  • Zone-Based Intrusion Detection fMobile Ad Hoc Networks*
    Zone-Based Intrusion Detection fMobile Ad Hoc. Networks*. Bo Sun. Dept. of Computer Science. Texas A&M University. College Station TX 77843-3112
    www.cs.uvic.ca/~wkui/research/IDS.pdf

  • UNSUPERVISED FUZZY ENSEMBLES AND THEIR USE IN INTRUSION DETECTION
    UNSUPERVISED FUZZY ENSEMBLES AND. THEIR USE IN INTRUSION DETECTION. Paul F. Evangelista. 1. , Piero Bonissone. 2. , Mark J. Embrechts
    www.dice.ucl.ac.be/Proceedings/esann/esannpdf/es2005-145.pdf

  • INTRUSION DETECTION ALARM CORRELATION: A SURVEY
    INTRUSION DETECTION ALARM CORRELATION: A SURVEY. Urko Zurutuza, Roberto Uribeetxeberria. Abstract. It is 17 years since Dorothy Denning proposed the first
    www.iadat.org/tcn2004/abstracts_web/IADAT-tcn2004_42.pdf

  • f CLUSTERING-BASED NETWORK INTRUSION DETECTION and 1. Introduction
    International Journal of Reliability, Quality and Safety Engineering. f. c World Scientific Publishing Company. CLUSTERING-BASED NETWORK INTRUSION DETECTION
    www.cse.fau.edu/~zhong/papers/idclust.pdf

  • User Requirements and Design of a Visualization fIntrusion
    Abstract – This paper reports on the user requirements. gathering activities and design of an information visualization. tool fanalyzing network data f
    userpages.umbc.edu/~jgood/publications/goodall-iaw05.pdf

  • IMoViS: A SYSTEM FMOBILE VISUALIZATION OF INTRUSION DETECTION DATA
    INFORMATION & SECURITY. An International Journal, Vol.12, No.2, 2003, 235-249. ++. I&S. IMoViS: A SYSTEM FMOBILE VISUALIZATION
    cms.isn.ch/public/docs/doc_6961_259_en.pdf

  • Intrusion Detection Systems Principles, Architecture and Measurements
    Intrusion Detection Systems. Principles, Architecture. and Measurements. S3 HUT,6.5.2003, Ville Jussila (vsjussil@netlab.hut.fi). Supervisor: prof.
    www.netlab.tkk.fi/opetus/s38310/02-03/jussila_060503.pdf

  • FEA TURE LIST Antivirus Protection Web Content Filtering Firewall
    50. FEA. TURE LIST. B R E A K. T H E. C O N T E N T. P R O C E S S I N G. B A R R I E R. DELIVERING. FUNCTIONALITY &. PERFORMANCE TO. THE SMALL OFFICE
    www.sistelsrl.it/networking/net_attivo/pdf/fortigate50.pdf

  • m01 Intrusion Detection
    Combining Multiple Intrusion Detection and Response Technologies in an. Active Networking Based Architecture. A. Hess, M. Jung, G. Schafer
    www.tu-ilmenau.de/fakia/fileadmin/template/startIA/telematik/Mitarbeiter/schaefer/Publications/dfn03.pdf

  • IDS - Intrusion Detection System, Part II Analysis Possibilities
    LinuxFocus article number 294. http://linuxfocus.org. by Klaus Müller. <Socma(at)gmx.net>. About the author:. At present "Klaus Müller
    tldp.org/linuxfocus/English/Archives/lf-2003_07-0294.pdf

  • Combining Multiple Intrusion Detection and Response Technologies
    Combining Multiple Intrusion Detection and Response Technologies. in an Active Networking Based Architecture. A. Hess, M. Jung, G. Schafer
    www.tkn.tu-berlin.de/publications/papers/dfn03.pdf

  • The Vernes architecture: Dependable Wide-Area Intrusion Detection
    The Vernes architecture:. Dependable Wide-Area. Intrusion Detection Systems. Nuno Miguel Neves. ∗. nneves@di.fc.ul.pt. July 2003. 1 Abstract
    research.cs.ncl.ac.uk//www.laas.research.ec.org/cabernet/workshops/radicals/2003/papers/paper.pdf_3.pdf

  • Dynamic Modeling of Internet Traffic fIntrusion Detection
    Hindawi Publishing Corporation. EURASIP Journal on Advances in Signal Processing. Volume 2007, Article ID 90312, 14 pages. doi:10.1155/2007/90312
    eudoxus.usc.edu/CHAOS/dyn_modelingfinal17.pdf

  • COGS Final Year Project Computer Science and Artificial
    David Ellis. Candidate No:. COGS Final Year Project. Computer Science and Artificial Intelligence. Supervisor: Ian Wakeman. May 2002
    www.informatics.sussex.ac.uk/prizes/2002_ellis.pdf

  • Experiences with Tripwire: Using Integrity Checkers fIntrusion
    Experiences with Tripwire:. Using Integrity Checkers fIntrusion Detection. Purdue Technical Report CSD-TR-93-071. Gene H. Kim and Eugene H. Spafford
    ftp.cerias.purdue.edu/pub/papers/Tripwire/Tripwire-SANS.pdf

  • Privacy Enhanced Intrusion Detection
    Privacy Enhanced Intrusion Detection. Roland Büschkes. Aachen University of Technology – Department of Computer Science. Informatik 4 (Communication Systems
    www-i4.informatik.rwth-aachen.de/sap/publications/41.pdf

  • Experiences with Specification-based Intrusion Detection
    Experiences with. Specification-based Intrusion Detection. P. Uppuluri and R. Sekar. Department of Computer Science. SUNY at Stony Brook, NY 11794.
    seclab.cs.sunysb.edu/seclab1/pubs/papers/raid01.pdf

  • An Introduction to Intrusion Detection
    Terminology. • What is an intrusion? – Examples include. • Breaching a locked door. • Password guessing. • Escalation of privilege
    www.cs.purdue.edu/homes/ninghui/courses/426_Fall06/lectures/ids_intro.pdf

  • Advanced Capability Waterside Intrusion Detection Radar
    Automatic Identification System (AIS). Ground Station and Shipboard Equipment. Overview. AIS was developed in response to international and national
    www.l-3klein.com/intrusion_detection/ais-pdf.pdf

  • Intrusion Detection in SensNetworks: A Non-cooperative Game
    Intrusion Detection in SensNetworks: A. Non-cooperative Game Approach. Afrand Agah*, Sajal K. Das*, Kalyan Basu*. Mehran Asadi**
    www.iacwcu.com/documents/NCA2004.pdf

  • Attribute Reduction fEffective Intrusion Detection
    Attribute Reduction fEffective Intrusion. Detection. Fernando Godınez. 1. and Dieter Hutter. 2. and Raul Monroy. 3. 1. Centre fIntelligent Systems,
    webdia.cem.itesm.mx/ac/raulm/pub/awic04.pdf

  • A Foolproof Intrusion Detection System FOMGuard ST9100
    page 14 electronics review. A Foolproof Intrusion Detection System. FOMGuard ST9100. FOMGuard ST9100 is an intrusion. detection system designed to protect
    www.stee.stengg.com/newsrm/Vol18No2/Page14.pdf

  • Firewalls and Intrusion Detection Systems handouts
    1. Proprietary and Confidential to STHI and University of Hawai. Firewalls and Intrusion Detection. Evaluating the technology,. capabilities, and issues
    www.hawaii.edu/brownbags/security/sthi2.handouts.pdf

  • Firewalls and Intrusion Detection powerpoint
    Proprietary and Confidential to STHI and University of Hawaii. Firewalls and Intrusion Detection. Evaluating the technology,. capabilities, and issues
    www.hawaii.edu/brownbags/security/sthi2.pdf

  • Support VectClassifiers and Network Intrusion Detection
    Support VectClassifiers and. Network Intrusion Detection. John Mill. Spokane Falls Community College, USA. Atsushi Inoue. Eastern Washington University
    penguin.ewu.edu/~ainoue/inacm051005/fuzz04svm_slide.pdf

  • APHIDS++: Evolution of A Programmable Hybrid Intrusion Detection
    APHIDS++: Evolution of A Programmable Hybrid. Intrusion Detection System. by. Mohammed Shahidul Alam. B.Sc., The University of Texas at Austin, 2002
    www.cs.ubc.ca/~malam/aphids/MohammedSAlamMastersThesis05.pdf

  • Temporal-Probabilistic Network Approach fAnomaly Intrusion
    Temporal-Probabilistic Network Approach fAnomaly Intrusion. Detection. Alexandr Seleznyov. 1. , Vagan Terziyan. 2. , Seppo Puuronen
    www.first.org/events/progconf/2000/SP-03.pdf

  • Information Visualization fan Intrusion Detection System
    Information Visualization fan Intrusion Detection System. James Blustein. Daniel L. Silver. Ching-Lung Fu. Technical Report CS-2005-15. July 28, 2005
    www.cs.dal.ca/research/techreports/2005/CS-2005-15.pdf

  • Intrusion Detection & Virus Protection!
    Expert Systems. Resources inc. Call us today to arrange. fyour complimentary. consultation at:. 416-299-7017. Providing piece-of-mind
    www.expsys.com/solutions/intrusion_detection_flyer2.pdf

  • Automated Intrusion Detection
    Automated Intrusion Detection. Antonella Chirichiello. Rome, 17th October 2005. 1 Introduction to Security Management. Security Management is gaining more
    www.dis.uniroma1.it/~dottorato/db/relazioni/relaz_chirichiello_1.pdf

  • New Features and Enhancements in FortiOS™ 2.5 Intrusion Detection
    New Features and Enhancements in FortiOS™ 2.5. Intrusion Detection/Prevention Support. Preventive protection against 30+ common DoS and DDos attacks
    www.fortinet.com/doc/press/FortiOS250FeaturesFunctionalityR103.pdf

  • Dealing with Patterns Dealing with Patterns Intrusion Detection
    1. Page: 1. © 2006 A.W. Krings. CS448/548 Survivable Systems and Networks, Lecture 13. Dealing with Patterns. Dealing with Patterns
    www.cs.uidaho.edu/~krings/CS448/Notes.2006/2006-13-ssn.pdf

  • Recent Advances in Network Intrusion Detection System Tuning
    Recent Advances in Network Intrusion Detection. System Tuning. Joel Sommers. University of Wisconsin-Madison. jsommers@cs.wisc.edu. Vinod Yegneswaran
    www.cs.utsa.edu/~lortiz/2006Fall_PreNov22.pdf

  • Intrusion Detection
    ICSA, Inc. Fmore information, call 888-396-8348. 2. An Introduction to Intrusion Detection and Assessment. Participating Vendors:
    www.icsalabs.com/icsa/docs/html/communities/ids/whitepaper/Intrusion1.pdf

  • Trust Intrusion Detection
    Managing eBusiness Security. eTrust Intrusion Detection delivers comprehensive. network protection capabilities, with built-in,
    www.gmasterinc.com/ca-pdf/eTrust-Intrusion.pdf


  • A High-Performance Network Intrusion Detection System
    A High-Performance Network Intrusion Detection System. R. Sekar. Y. Guang. S. Verma. T. Shanbhag. SUNY at Stony Brook, NY. Iowa State University, Ames, IA
    seclab.cs.sunysb.edu/seclab1/pubs/papers/ccs99.pdf

  • Wireless intrusion detection
    Wireless IDS systems have started to. emerge in an effort to assist IT person-. nel in detecting malicious activities on a. wireless network.
    www.itsec.gov.cn/webportal/download/88.pdf

  • On The Importance of Header Classification in HW/SW Network
    On The Importance of Header Classification in. HW/SW Network Intrusion Detection Systems. Vassilis Dimopoulos. 1. , Giorgos Papadopoulos
    www.mhl.tuc.gr/research/publications/PCI2005-HeaderClassification.pdf

  • INTRUSION DETECTION IN MOBILE AD HOC NETWORKS A Dissertation by BO
    INTRUSION DETECTION IN MOBILE AD HOC NETWORKS. A Dissertation. by. BO SUN. Submitted to the Office of Graduate Studies of. Texas A&M University
    https://txspace.tamu.edu/bitstream/1969.1/2215/1/etd-tamu-2004A-CPSC-Sun-1.pdf

  • PAID: A Probabilistic Agent-Based Intrusion Detection system
    PAID: A Probabilistic Agent-Based Intrusion. Detection system. Vaibhav Gowadia, Csilla Farkas*, Marco Valtorta. Information Security Laboratory, Department
    www.cse.sc.edu/~farkas/publications/j8.pdf

  • Intrusion Detection Systems
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    www.cse.iitb.ac.in/~pchandra/seminar/Intrusion%20Detection%20Systems.pdf

  • LNAI 4223 - Fuzzy Optimization fSecurity Sensors Deployment in
    L. Wang et al. (Eds.): FSKD 2006, LNAI 4223, pp. 743–752, 2006. © Springer-Verlag Berlin Heidelberg 2006. Fuzzy Optimization fSecurity Sensors Deployment
    s-router.cs.tsinghua.edu.cn/~huchengchen/Pub/ICNC-FSKD2006.pdf

  • A Game Theoretic Analysis of Intrusion Detection in Access Control
    A Game Theoretic Analysis of Intrusion Detection in Access. Control Systems. Tansu Alpcan and Tamer Basar. Abstract— We present a game-theoretic analysis of
    decision.csl.uiuc.edu/~alpcan/papers/alpcan-basar-cdc04_WeA05_6.pdf

  • Chapter 1 DATA MINING FINTRUSION DETECTION A Critical Review
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  • Intrusion detection using rough set classification
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    www.zju.edu.cn/jzus/2004/0409/040909.pdf

  • Security PACE Book 5 - Intrusion Detection
    Security PACE Book 5 - Intrusion Detection. Course · Introduction. Intrusion. Detection. Systems and. Concepts. Intrusion. Detection. Overview. Perimeter
    www.simplexgrinnell.com/resourcecenter/documents/PACEBook5.pdf

  • A Wireless Intrusion Detection Method Based on Dynamic Growing
    A Wireless Intrusion Detection Method Based on Dynamic Growing. Neural Network. Yanheng Liu, Daxin Tian. College of Computer Science and Technology,
    www.imsccs-conference.org/imsccs06/finalPapers/paper123final.pdf

  • FIDRAN: A Flexible Intrusion Detection and Response Framework f
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    www.tkn.tu-berlin.de/publications/papers/iscc03.pdf

  • Dynamic Application-Layer Protocol Analysis fNetwork Intrusion
    Dynamic Application-Layer Protocol Analysis. fNetwork Intrusion Detection. Holger Dreger. TU Munchen. dreger@in.tum.de. Anja Feldmann. TU Munchen
    166.111.248.20/seminar/2006_09_14/usenix06.pdf

  • Host-Based Intrusion Detection Using Dynamic and Static Behavioral
    Host-Based Intrusion Detection Using Dynamic and Static. Behavioral Models. Dit-Yan Yeung. Yuxin Ding. Department of Computer Science
    www.cs.ust.hk/~dyyeung/paper/pdf/yeung.pr2003.pdf

  • Intrusion Detection Methodologies Demystified
    Intrusion Detection Methodologies. Demystified. Revision History:. Version. Date. Comments. 1.0. 02-07-2003. Gary Golomb. 1.1. 02-12-2003
    www.duxbury.co.za/Products/Enterasys/Whitepapers/ID_Methodologies_Demystified.pdf

  • Intrusion Detection in Computer Networks by Multiple Classifier
    Intrusion Detection in Computer Networks by Multiple Classifier Systems. Giorgio Giacinto and Fabio Roli. Department of Electrical and Electronic
    www.diee.unica.it/informatica/en/publications/papers-prag/IDS-Conference-01.pdf

  • Ensemble Learning fIntrusion Detection in Computer Networks
    Ensemble Learning fIntrusion Detection in. Computer Networks. Luca Didaci, Giorgio Giacinto and Fabio Roli. Department of Electrical and Electronic
    www.diee.unica.it/informatica/en/publications/papers-prag/IDS-Conference-02.pdf

  • Seminar Report Classification, Clustering and Application in
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    www.it.iitb.ac.in/~kaushal/downloads/seminarreport.pdf

  • UNPCC: A Novel Unsupervised Classification Scheme fNetwork
    UNPCC: A Novel Unsupervised Classification Scheme fNetwork Intrusion. Detection. Zongxing Xie, Thiago Quirino, Mei-Ling Shyu
    www.cs.fiu.edu/~chens/PDF/ICTAI06_UNPCC.pdf

  • MS004A Intrusion Detection and Firewall Security
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    www.iu.hio.no/teaching/materials/MS004A/html/L5.en.pdf

  • A Formal Approach to SensPlacement in a Network Intrusion
    A Formal Approach to Sensor. Placement in a Network Intrusion. Detection System. M. Rolando, M. Rossi, N. Sanarico and D. Mandrioli
    homes.dico.unimi.it/~monga/sess/rossi.pdf

  • A Load Balancing Algorithm fHigh Speed Intrusion Detection
    A Load Balancing Algorithm fHigh Speed. Intrusion Detection. LU Sheng, GONG Jian, RUI Suying. Department of Computer Science and Engineering,
    www.njnet.edu.cn/njcert/papers/2003/shlu_2003_1.pdf

  • The Many Faces of Intrusion Detection System
    1. The Many Faces of Intrusion Detection System. Ameya Anil Velankar. Department of Computer Science. The University of Texas at Dallas
    www.utdallas.edu/~axv028100/courses/cs6390/paper/IDS_paper_may01.pdf

  • Intrusion Detection Systems
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    www.macos.utah.edu//mainColumnParagraphs/00/document/20030618-intrustion_detection.pdf

  • Applying Intrusion Detection Systems to Wireless SensNetworks
    Applying Intrusion Detection Systems. to Wireless SensNetworks. Rodrigo Roman. E.T.S. Ing. Informatica. University of Malaga. 29071, Malaga, Spain
    www.lcc.uma.es/~roman/files/roman-ccnc06.pdf

  • CS424 Network Security: Bayesian Network Intrusion Detection (BNIDS)
    CS424 Network Security: Bayesian Network Intrusion Detection. (BNIDS). Krister Johansen and Stephen Lee. May 3, 2003. 1 Introduction
    www.cs.jhu.edu/~fabian/courses/CS600.424/course_papers/samples/Bayesian.pdf

  • American Water makes Demarc Sentarus the Enterprise Intrusion
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    www.pilmerpr.com/casestudyAmericanWater.pdf

  • Service Discrimination and Audit File Reduction fEffective
    Service Discrimination and Audit File Reduction. fEffective Intrusion Detection. ⋆. Fernando Godınez. 1. and Dieter Hutter. 2. and Raul Monroy
    webdia.cem.itesm.mx/ac/raulm/pub/WISA04.pdf

  • Towards a Taxonomy of Intrusion Detection Systems and Attacks
    Project IST-1999-11583. Malicious- and Accidental-Fault Tolerance. fInternet Applications. Towards a Taxonomy of Intrusion Detection. Systems and Attacks
    www.maftia.org/deliverables/D3.pdf

  • World Wireless Intrusion Detection and Prevention Systems Markets
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    www.researchandmarkets.com/reports/363326/world_wireless_intrusion_detection_and.pdf

  • Msc Intrusion Detection
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    www.fcet.staffs.ac.uk/rs17/Notes/Forensics/Semester%201/MSc/Msc%20Intrusion%20Detection.pdf

  • Intrusion Detection System (IDS) Work Finterclustering, TCP/IP
    AI Techniques Applied to High Performance Computing. Intrusion Detection. 1. Susan M. Bridges, Rayford B. Vaughn, and Ambareen Siraj
    www.security.cse.msstate.edu/docs/Publications/asiraj/Monterrey_IIDS-2.pdf

  • A State Transition Model Case Study fIntrusion Detection Systems
    A State Transition Model Case Study fIntrusion. Detection Systems. Brian J. d’Auriol. Department of Computer Science. The University of Texas at El Paso
    www.cs.utep.edu/~bdauriol/publications/node27-paper.pdf

  • About Some Applications of Hidden Markov Model in Intrusion
    International Conference on Computer Systems and Technologies - CompSysTech’06. About Some Applications of Hidden Markov Model in Intrusion
    ecet.ecs.ru.acad.bg/cst06/Docs/cp/SIII/IIIA.9.pdf

  • Intrusion Detection in Wireless Ad-Hoc Networks
    Intrusion Detection in Wireless Ad-Hoc Networks. Yongguang Zhang. HRL Laboratories, LLC. Malibu, CA 90265. ygz@hrl.com. Wenke Lee
    www.cs.huji.ac.il/labs/danss/sensor/adhoc/zhang_2000intrusiondetection.pdf

  • Intrusion Detection System (IDS) Evaluation
    Fink, Chappell, Turner, O’Donoghue. NSWCDD, Code B 35, Dahlgren, VA. WPDRTS, 15-17 April 2002. Ft. Lauderdale, Florida. Page 1 of 8
    people.cs.vt.edu/~finkga/published/WPDRTS-paper-Jan02.pdf

  • Intrusion Detection Techniques
    Intrusion Detection Techniques. Peng Ning, North Carolina State University. Sushil Jajodia, George Mason University. Introduction. Anomaly Detection
    discovery.csc.ncsu.edu/Courses/csc774-S03/IDTechniques.pdf

  • Continuous Scan intrusion detection system identifies and stops
    Continuous Scan intrusion detection system. identifies and stops rogue network nodes. Organizations realize the importance of maintaining secure networks.
    www.operativesoft.com/Product/Continous%20Scan.pdf

  • Wireless Intrusion Detection 1
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    www.iwwst.org.uk/Files/2003/FinalPN.pdf

  • HMM Sequential Hypothesis Tests fIntrusion Detection in MANETs
    HMM Sequential Hypothesis Tests fIntrusion. Detection in MANETs. Extended Abstract. Alvaro A. Cardenas, Vahid Ramezani, John S. Baras
    techreports.isr.umd.edu/reports/2003/TR_2003-47.pdf

  • Towards NIC-based Intrusion Detection
    Towards NIC-based Intrusion Detection. M. Otey, S. Parthasarathy, A. Ghoting, G. Li, S. Narravula, D. Panda. Department of Computer and Information Science,
    dmrl.cse.ohio-state.edu/papers/kdd03.pdf

  • NIC-based intrusion detection: A feasibility study
    NIC-based intrusion detection: A feasibility study. M. Otey R. Noronha G. Li S. Parthasarathy. ¡. D. K. Panda. Department of Computer and Information
    dmrl.cse.ohio-state.edu/papers/ICDM02-ws.pdf

  • Data Mining fImproving Intrusion Detection
    Data Mining fImproving. Intrusion Detection. presented by: Dr. Eric Bloedorn. Team members:. Bill Hill (PI). Dr. Alan Christiansen, Dr. Clem Skorupka,
    www.mitre.org/work/tech_papers/tech_papers_00/bloedorn_datamining/bloedorn_spss.pdf

  • An intrusion detection/prevention design guide
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    www.nortel.com/products/01/tps/collateral/nn114161.pdf - 29 Dec 2006

  • Distributed Intrusion Detection Platform
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    homepages.alumni.os3.nl/~jvb/docs/DistributedIntrusionDetectionPlatform.pdf

  • A STUDY ON CLASSIFICATION TECHNIQUES FNETWORK INTRUSION DETECTION
    A STUDY ON CLASSIFICATION TECHNIQUES FNETWORK. INTRUSION DETECTION. Sophia Kaplantzis. Electrical & Comp Systems Eng. Monash University Australia
    members.iinet.com.au/~souvla/ncs2006.pdf

  • Evolving discrete-valued anomaly detectors fa network intrusion
    Evolving discrete-valued anomaly detectors fa network. intrusion detection system using negative selection. Simon T. Powers. School of Computer Science
    www.cs.bham.ac.uk/~jxh/2006ukci.pdf

  • IDAMN: an Intrusion Detection Architecture fMobile Networks
    1. IDAMN: an Intrusion Detection Architecture. fMobile Networks. 1. Didier Samfat, Refik Molva. INSTITUT EURÉCOM. 2229, route des Crêtes,
    www.eurecom.fr/~nsteam/Papers/jsac.pdf

  • Recognizing Malicious Intention in an Intrusion Detection Process
    Recognizing Malicious Intention in an. Intrusion Detection Process. Frederic Cuppens. , Fabien Autrel. , Alexandre Mi`ege. ¡. & Salem Benferhat
    4lx.free.fr/articles/CAMB202.pdf

  • IDDM: Intrusion Detection using Data Mining Techniques
    IDDM: Intrusion Detection using Data Mining. Techniques. Tamas Abraham. Information Technology Division. Electronics and Surveillance Research Laboratory
    www.dsto.defence.gov.au/corporate/reports/DSTO-GD-0286.pdf

  • Logic Induction of Valid BehaviSpecifications fIntrusion
    Logic Induction of Valid BehaviSpecifications fIntrusion Detection. Calvin Ko. NAI Labs, Network Associates, Inc. calvin ko@nai.com. Abstract
    opensource.nailabs.com/wrappers/docs/aspec-reprint.pdf

  • Anomaly Based Network Intrusion Detection with Unsupervised
    Anomaly Based Network Intrusion Detection with. Unsupervised Outlier Detection. Jiong Zhang and Mohammad Zulkernine. School of Computing
    www.ccsl.carleton.ca/mmcna/publications/NS0907.pdf

  • Behavioral Intrusion Detection
    Behavioral Intrusion Detection. Stefano Zanero. ⋆. Dipartimento di Elettronica e Informazione, Politecnico di Milano,. Via Ponzio 34/5, 20133 Milano,
    www.elet.polimi.it/upload/zanero/papers/ids-ethology.pdf

  • Layer One Intrusion Detection
    II. II. nformation. has become one of the most sought-. after commodities in the world today. Protecting the vital flow of data from
    www.compudyne.com/ap/fiber_sensys/prod_specs/SecurLAN_brochure_RevB.pdf

  • Intrusion Detection Systems: Securing a Network Environment By
    Intrusion Detection Systems: Securing a Network Environment. By Asha Bielewicz (9718446). Traditionally, Web servers were connected directly to the Net
    www.cas.mcmaster.ca/~wmfarmer/SE-4C03-01/papers/Bielewicz-IDS.pdf

  • A Non-cooperative Game Approach fIntrusion Detection in Sens
    1. A Non-cooperative Game Approach fIntrusion. Detection in SensNetworks. Afrand Agah, Sajal K. Das and Kalyan Basu. Center fResearch in Wireless
    www.iacwcu.com/documents/vtc2004.pdf

  • INTRUSION DETECTION IN CRITICAL E- BUSINESS ENVIRONMENT
    HELSINKI UNIVERSITY OF TECHNOLOGY. Department of Computer Science and Engineering. Janne Anttila. INTRUSION DETECTION IN CRITICAL E-. BUSINESS ENVIRONMENT
    www.tml.tkk.fi/Publications/Thesis/janttila.pdf

  • A TECHNIQUE INDEPENDENT FUSION MODEL FNETWORK INTRUSION
    PROCEEDINGS OF THE. MIDSTATES CONFERENCE ON. UNDERGRADUATE RESEARCH IN. COMPUTER SCIENCE AND MATHEMATICS. Volume 3, Number 1, Pages 13–19
    www.wooster.edu/cs/mcurcsm2005/papers/paper22final.pdf

  • Soft Computing Components fIntrusion Detection Systems
    Applications of Neuro-fuzzy. Methods fIntrusion Detection. Systems. Dr Jugal Kalita. Associate Professor. Computer Science. Lori L. DeLooze
    eceweb.uccs.edu/ziemer/Presentations_pdf/Kalita_DeLooze_Applic_of_Neuro.pdf

  • Guidelines fa Long Term Competitive Intrusion Detection System
    Guidelines fa Long Term Competitive. Intrusion Detection System. Erwan Lemonnier - r1@defcom.com. 5th October 2001
    erwan.lemonnier.free.fr/exjobb/report/IDS_Guidelines-Lemonnier-200110.pdf

  • Villa Julie College Forensics Studies Graduate Program Intrusion
    Villa Julie College. Forensics Studies. Graduate Program. Intrusion Detection. Systems (IDS) , Firewalls,. Auditing: FSIS 650
    www.vjc.edu/uploadedFiles/For_Distant_Learners/Courses/FSIS650syllabusSHORTVERSION5.22.06.pdf

  • DRAGON™ INTRUSION DETECTION SYSTEM
    Protect Corporate Assets with a High-Performance, Cost-Effective. Network Security Monitoring Solution. All corporations today suffer at the hand of hackers
    www.anidirect.com/products/intrusiondetection/solution-brief.pdf

  • Framework fIntrusion Detection Inspired by the Immune System
    Framework fIntrusion Detection. Inspired by the Immune System. Melanie Middlemiss. The Information Science. Discussion Paper Series. Number 2005/07
    eprints.otago.ac.nz/21/01/dp2005-07.pdf

  • Combining Evasion Techniques to Avoid Network Intrusion Detection
    Combining Evasion Techniques to Avoid. Network Intrusion Detection Systems. A. Samuel Gorton and Terrence G. Champion. Skaion Corporation,
    www.skaion.com/research/tgc-rsd-raid.pdf

  • Linux Intrusion Detection System
    2. What is LIDS? ·. Limit the rights of "root" on its own server. ·. Using Linux 2.2 capabilities to restrict root. ·. Protect files, processes and network
    www.ota.be/linux/workshops/20000527/LIDS/lids.pdf

  • EWMA Techniques fComputer Intrusion Detection through Anomalous
    QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL. Qual. Reliab. Engng. Int. 2002; 18: 443–451 (DOI: 10.1002/qre.493)
    enpub.fulton.asu.edu/ye/Published_Journal_Papers/Ye_32.pdf

  • What intrusion detection approaches work well if only TCP/IP
    by. O. RYSPAYEV. D. OSSAY. O. RYSPAYULI. Master Thesis. Supervisor:. Dr.ir. Aiko Pras (INF/DACS). Dr.ir. Remco van de Meent (INF/DACS)
    dacs.ewi.utwente.nl/documents/reports/master/MSc-Thesis-Dossay%20Oryspayev.pdf

  • A Robust SensConnection fIntrusion Detection E-mail:
    -1-. A Robust SensConnection fIntrusion Detection. Yi-Tsung Chien (簡逸聰), Hung-Xin Zhao (趙鴻欣) , Yea-Shuan Huang (黃雅軒)
    fox1.csie.ncu.edu.tw/~ycjian/A%20Robust%20Sensor%20Connection%20for%20Intrusion%20Detection.pdf

  • Towards a Multimodal Human-Computer Interface to Analyze Intrusion
    Towards a Multimodal Human-Computer Interface. to Analyze Intrusion Detection in Computer. Networks. Miguel A. Garcia-Ruiz. Faculty of Telematics,
    faculty.uoit.ca/vargas/vargasMartin-MexIHC06.pdf

  • IDS: Intrusion Detection System
    Anti-Virus / Anti Spam. Antivirus ("anti-virus") software is a class of program that searches your hard drive and floppy
    www.idcglobal.net/IDCWeb/downloads/Glossary%20-%20Definitions_website.pdf

  • 6.5.5 AT&T Managed Intrusion Detection Service
    Contract # GS00T99AHD0004. Proposal to Add Federal Telecommunications Service – Long Distance (FTS-LD). Use disclosure of data contained on this sheet is
    www.corp.att.com/gov/docs/6_5_5_mids.pdf

  • An Intrusion Detection Model Based Upon Intrusion Detection Markup
    J. OURNAL OF. I. NFORMATION. S. CIENCE AND. E. NGINEERING. 17, 899-919 (2001). 899. An Intrusion Detection Model Based Upon
    www.iis.sinica.edu.tw/JISE/2001/200111_03.pdf

  • Intrusion Detection System in Wireless Ad-Hoc Networks: Sybil
    1. Intrusion Detection System in Wireless Ad-Hoc Networks:. Sybil Attack Detection and Others. Christopher Besemann, Satoshi Kawamura, Florent Rizzo
    www.cs.ndsu.nodak.edu/~kawamura/doc/IDSinWirelessAdHocNetworksSybilAttack.pdf

  • A Logical Framework fPlan Recognition fIntrusion Detection
    A Logical Framework fPlan Recognition for. Intrusion Detection. Antonella Chirichiello. Dipartimento di Informatica e Sistemistica ”Antonio Ruberti”
    www.dis.uniroma1.it/~dottorato/db/relazioni/relaz_chirichiello_2.pdf

  • A Frequency-Based Approach to Intrusion Detection
    A Frequency-Based Approach to Intrusion Detection. Mian Zhou and Sheau-Dong Lang. School of Electrical Engineering & Computer Science
    www.cs.ucf.edu/csdept/faculty/lang/pubs/mzhousci2003final.pdf

  • A Replication- and Checkpoint-Based Approach fAnomaly-Based
    A Replication- and Checkpoint-Based Approach fAnomaly-Based Intrusion. Detection and Recovery. Adnan Agbaria. ∗. Roy Friedman
    www.crhc.uiuc.edu/~adnan/papers/agbariaa_detection.pdf

  • Intrusion Detection in Virtual Machine Environments
    Intrusion Detection in Virtual Machine Environments. Marcos Laureano, Carlos Maziero, Edgard Jamhour. Graduate Program in Applied Computer Science
    www.laureano.eti.br/projetos/vmids/vmids_euromicro.pdf

  • A New Mobile Agent-Based Intrusion Detection System Using
    Abstract. This paper presents a distributed intrusion. detection system (IDS), based on mobile agents,. that detects intrusion from outside the network
    webfea.fea.aub.edu.lb/proceedings/2004/SRC-ECE-43.pdf

  • Real-Time Intrusion Detection and Suppression in ATM Networks
    Appeared in: Proceedings of the 1st USENIX Workshop on Intrusion Detection and Network. Monitoring, Santa Clara, CA, April 1999
    faculty.cs.tamu.edu/bettati/Papers/usenix99/paper.pdf

  • Intrusion-Detection During Incident-Response,
    Intrusion-Detection. During. Incident-Response,. using a military battlefield-intelligence process. Jim Yuill, PhD Candidate. Computer Science Dept.
    www4.ncsu.edu/~jjyuill/Professional/Research/Publications/first-color.pdf

  • Intrusion Detection Intrusion Targets IDS Evaluation
    Brett D. Fleisch. 5/28/2001. CS202 Advanced Operating Systems. 1. CS165, B. D. Fleisch. 1. Intrusion Detection. Based on notes of Alec Yasinsac
    www.cs.ucr.edu/~brett/cs165_s01/LECTURE23/intrusion-4up.pdf

  • Intelligent and Mobile Agent fIntrusion Detection System : IMA-IDS
    Intelligent and Mobile Agent. fIntrusion Detection System :. IMA-IDS. Farah. Barika. Nabil. El Kadhi. farah.barika@ragingbull.com el-kad_n@epitech.net
    leria.epitech.net/site/tree/publications/AF2.pdf

  • eXpert-BSM™ – Intrusion Detection System fSolaris
    PROTECTING CRITICAL SERVERS. IS THE HEART OF DATA SECURITY. Organizations with sensitive information require. fail-safe protection of critical systems
    www.csl.sri.com/projects/emerald/releases/eXpert-BSM/eXpert-BSM-DataSheet.pdf

  • Intrusion Detection In Depth GCIA Practical Assignment
    Intrusion Detection In Depth. GCIA Practical Assignment. Version 3.0 (revised August 13, 2001). NOTE: This version of the assignment has passed its due date
    www.giac.org/practicals/archives/gcia/30.pdf

  • MODERN INTRUSION DETECTION, DATA MINING, AND DEGREES OF ATTACK GUILT
    MODERN INTRUSION DETECTION, DATA. MINING, AND DEGREES OF ATTACK GUILT. Steven Noel. Center fSecure Information Systems
    www.cse.msu.edu/~wuming/papers/IDS%20chapter.pdf

  • Integrating Intrusion Detection and Network Management
    Security management in large enterprise networks. Panagiotis Astithas, Giorgos Koutepas, Athanassios Moralis, Basil Maglaris. Network Management and Optimal
    www.hpovua.org/PUBLICATIONS/PROCEEDINGS/7_HPOVUAWS/papers/session6-2.pdf

  • Intrusion Detection and Prevention Accurate Powerful Flexible
    Why Outsource? If you have just one computer on the Inter-. net, then network security is an issue for. your institution. It is quite common fbusi-
    www.dcninc.com/PDF/tn-securnoc.pdf

  • Scaling and Visualizing Network Data to Facilitate in Intrusion
    Scaling and Visualizing Network Data to Facilitate in. Intrusion Detection Tasks. A Thesis. Presented to. The Academic Faculty. by. Kulsoom Abdullah
    etd.gatech.edu/theses/available/etd-04062006-131015/unrestricted/abdullah_kulsoom_b_200605_phd.pdf

  • U.S. Government Protection Profile Intrusion Detection System
    U.S. Government Protection Profile. Intrusion Detection System –. Scanner. For. Medium Robustness Environments. Version 0.9. December 30, 2004. Information
    niap.bahialab.com/pp/draft_pps/pp_draft_idsscanner_mr_v0.9.pdf

  • U.S. Government Protection Profile Intrusion Detection System
    U.S. Government Protection Profile. Intrusion Detection System –. Analyzer. For. Medium Robustness Environments. Version 0.9. December 30, 2004. Information
    niap.bahialab.com/pp/draft_pps/pp_draft_idsanalyzer_mr_v0.9.pdf

  • FAQ: Network Intrusion Detection Systems 0. Information about this FAQ
    FAQ: Network Intrusion Detection Systems. Version 0.8.3, March 21, 2000. This FAQ answers simple questions related to detecting intruders who attack systems
    www.biblioteca.co.cr/pdf/network-intrusion-detection.pdf

  • Intrusion Detection in Wireless SensNetworks
    1. Intrusion Detection in Wireless SensNetworks. Michael Krishnan. Abstract. Wireless SensNetworks (WSNs) offer an excellent opportunity to monit
    walrandpc.eecs.berkeley.edu/228S06/Projects/KrishnanProject.pdf

  • Using Static Program Analysis to Aid Intrusion Detection
    Using Static Program Analysis. to Aid Intrusion Detection. Manuel Egele, Martin Szydlowski, Engin Kirda, and Christopher Kruegel. Secure Systems Lab
    thor.auto.tuwien.ac.at/~chris/research/doc/dimva06_static.pdf

  • CONTROL & SECURITY OF FIREWALLS AND INTRUSION DETECTION SYSTEMS
    IT Audit & Security Boot Camp. COURSE DURATION: 5-days. CPE HOURS: 40. LEVEL: Intermediate / Group-Live. PREREQUISITES: None
    www.canaudit.com/Outlines/ITBootCamp.pdf

  • An Adaptive Intrusion Detection System using a Data Mining Approach
    An Adaptive Intrusion Detection System using a Data Mining Approach. Sujaa Rani Mohan, E.K. Park, Yijie Han. University of Missouri, Kansas City
    elvex.ugr.es/icdm2005/pdf/icdm2005-mohan.pdf

  • An Architecture fIntrusion Detection Modeled After the Human
    An Architecture fIntrusion Detection. Modeled After the Human Immune System. John M. HALL. Computer Science, University of Idaho
    www.johnmhall.net/research/immunology/CCCT2003/isnids.pdf

  • U.S. Government Protection Profile Intrusion Detection System
    U.S. Government Protection Profile. Intrusion Detection System –. System. For. Medium Robustness Environments. Version 0.10. December 30, 2004. Information
    www.cab-cds.org/pp/draft_pps/pp_draft_idssystem_mr_v0.10.pdf

  • CONFIGURABLE STRING MATCHING HARDWARE FSPEEDING UP INTRUSION
    ABSTRACT. ALDWAIRI, MONTHER MUSTAFA. Hardware Efficient Pattern Matching Algorithms and. Architectures fFast Intrusion Detection.
    www.lib.ncsu.edu/theses/available/etd-12072006-052347/unrestricted/etd.pdf

  • CS 541 Project Report An Intrusion Detection System in MySQL
    CS 541 Project Report. An Intrusion Detection System in MySQL. Daeho Seo. Jing Li. Yinian Qi. Dec. 5th, 2006. 1 The Motivation
    www.cs.purdue.edu/homes/akamra/cs541/Proj4_IntrusionDetection_report.pdf
  • SensDeployment Optimization fNetwork Intrusion Detection
    SensDeployment Optimization. fNetwork Intrusion Detection. Tae-Sic Yoo and Humberto E. Garcia. Sensors and Decision Systems Group
    taesic.googlepages.com/2006_Allerton_Intrusion_Detection_preprint.pdf

  • SANS2000 San Jose > GIAC Intrusion Detection Curriculum Pract
    Home. Faculty. Basics Module. FAQ. Contact. GIAC Intrusion Detection Curriculum. Practical Assignment fSNAP San Jose. May 8 - 13, 2000. Version 2.1.1
    www.giac.org/practicals/archives/gcia/211.pdf

  • An Efficient Intrusion Detection Design
    1. An Efficient Intrusion Detection System Design. Thomas Holz, Michael Meier, Hartmut Koenig. Brandenburg University of Technology Cottbus
    ls6-www.informatik.uni-dortmund.de/~meier/papers/issa2002.pdf

  • Host-Based Intrusion Detection Host-Based Intrusion Detection
    P1: PDB. JWBS001C-184.tex. WL041/Bidgoli WL041-Bidgoli.cls. June 15, 2005. 10:43. Char Count= 0. Host-Based Intrusion Detection
    www.auto.tuwien.ac.at/~chris/research/doc/infsec05_hids.pdf

  • Network Intrusion Detection, Third Edition 0735712654 Stephen
    Network Intrusion Detection, Third Edition. 0735712654. Stephen Northcutt and Judy Novak. Copyright. . 2003 by New Riders Publishing
    www.samspublishing.com/content/images/0735712654/Errata/Errata2654.pdf

  • Global Crossing Managed Security Services – Managed Intrusion
    Global Crossing. Managed Security Services – Managed Intrusion Detection Service. June 2005. ©. Global Crossing 2005. Page 1 of 5
    www.globalcrossing.com/docs/terms_slas/GC_SLA_ManagedSecurity-ManagedIntrusionDetectionServiceJune2005.pdf

  • Chapter 25: Intrusion Detection
    June 1, 2004. Computer Security: Art and Science. ©2002-2004 Matt Bishop. Slide #25-1. Chapter 25: Intrusion Detection. • Principles. • Basics
    nob.cs.ucdavis.edu/book-aands/slides/25.pdf

  • Chapter 22: Intrusion Detection
    November 1, 2004. Introduction to Computer Security. ©2004 Matt Bishop. Slide #22-1. Chapter 22: Intrusion Detection. • Principles. • Basics
    nob.cs.ucdavis.edu/book-intro/slides/22.pdf

  • CS393/682 Lab 3: Introduction to Intrusion Detection Systems
    CS393/682 Lab 3: Introduction to Intrusion Detection Systems. Introduction. Intrusion Detection Systems (IDS) are used in a network to monittraffic in
    isis.poly.edu/courses/cs682/labs/393lab4.pdf

  • Intrusion Detection
    Intrusion Detection. Issues and Technologies. Julie J.C.H. Ryan, D.Sc. Presented to the Department of Veteran. Affairs. InfoSec2002 New Orleans May 2002
    www.seas.gwu.edu/~jjchryan/VAIDS051402.pdf

  • A Network Audit System fHost-based Intrusion Detection (NASHID
    A Network Audit System fHost-based Intrusion Detection (NASHID) in Linux. £. Thomas E. Daniels, Eugene H. Spafford. CERIAS. Purdue University
    www.acsa-admin.org/2000/papers/82.pdf

  • White Paper Wireless Intrusion Detection & Prevention
    2004 Airespace, Inc. All Rights Reserved. White Paper. Wireless Intrusion Detection & Prevention. 2. Table of Contents. The Need fIntrusion Detection and
    www.airespace.com/pdf/WP_Intrusion_Detection.pdf

  • A Comparative Analysis of Current Intrusion Detection Technologies
    A Comparative Analysis of Current Intrusion Detection Technologies. James Cannady Jay Harrell. Georgia Tech Research Institute Georgia Tech Research
    www.neurosecurity.com/articles/IDS/TISC96.pdf

  • Intrusion Detection Gets Smarter
    I. ntrusion detection systems (IDS). are essentially network burglar. alarms. They supplement firewalls. by hunting fsuspicious activity
    www.emtecinc.com/Aug03Adviser.pdf

  • Motivation Intrusion Detection Techniques Intrusion Detection
    1. Copyright (c) Peng Liu, The. Pennsylvania State Unviersity. 1. Intrusion Detection. -- A 20 year practice. Peng Liu. School of IST. Penn State University
    www.cse.psu.edu/~szhu/teach/cse597b/IDS.pdf

  • Intrusion Detection -- First Steps at UW
    Intrusion Detection -- First Steps at UW. Information Systems and Technology. University of Waterloo. Synopsis. At the University of Waterloo over the last
    ist.uwaterloo.ca/security/position/20050524/paper.pdf

  • Intrusion Detection fDistributed Applications
    Intrusion Detection fDistributed Applications. Matthew Stillerman. Carla Marceau. Maureen Stillman. Odyssey Research Associates (ORA)
    www.atc-nycorp.com/papers/Stillerman_CACM_1999.pdf

  • Myths and Principles of Intrusion Detection Systems By: Darrin M
    Myths and Principles of Intrusion Detection Systems. By: Darrin M Mourer, CISSP CISA. Even with information security trends placing Intrusion Detection
    www.remainsecure.com/whitepapers/ids/IDS%20Myths.pdf

  • Developing Intrusion Detection/Defense Capability fNetworks
    The Development of a Intrusion Detection/Defense System for. Linux Hosts. Banji K. Lawal. Department of Microcomputer Studies. St. Cloud State University
    www.micsymposium.org/mics_2001/lawal_guster.pdf

  • Syntax vs. Semantics: Competing Approaches to Dynamic Network
    Int. J. Security and Networks, Vol. X, Nos. X/X/X, 2006. 1. Copyright © 2006 Inderscience Enterprises Ltd. Syntax vs. Semantics: Competing
    www.cse.lehigh.edu/~chuah/publications/paper-ijsn-revised.pdf

  • Binary-level Function Profiling fIntrusion Detection and Smart
    Binary-level Function Profiling fIntrusion Detection and Smart. ErrVirtualization. Michael E. Locasto. Angelos D. Keromytis. Columbia University
    www.cis.fiu.edu/~tking003/strg/files/autonomic/cucs-002-06%5B1%5D.pdf

  • Lab exercise: Working with Snort fIntrusion Detection
    CS 415: Computer and Network Security. Fall 2005. Lab exercise: Working with Snort for. Intrusion Detection. Abstract:
    courses.umass.edu/cs415/labs/lab2/415-lab2-Snort.pdf

  • Intrusion Detection
    1. Monitoring/Sniffing. Normally, ethernet cards and other broadcast NICs. receive all traffic on the subnet. Unless the card is in promiscuous mode,
    courses.umass.edu/cs415/slides-pdf/415-lec14-ids.pdf

  • User Pro ling fIntrusion Detection in Windows NT
    User Pro ling fIntrusion Detection in Windows NT. Tom Goldring. National Security Agency, 9800 Savage Road, Fort Meade, MD, 20755. Abstract
    stat.gmu.edu/interface/I03/I2003Proceedings/GoldringTom/GoldringTom.paper.pdf

  • APHIDS: A Mobile Agent-Based Programmable Hybrid Intrusion
    APHIDS: A Mobile Agent-Based Programmable. Hybrid Intrusion Detection System. Ken Deeter. 1. , Kapil Singh. 1. , Steve Wilson. 1. , Luca Filipozzi
    www.cs.ubc.ca/~singh/publication/aphids_cameraready.pdf

  • Optimizing Intrusion Detection Systems
    Brochure. More information from http://www.researchandmarkets.com/reports/29048/. Optimizing Intrusion Detection Systems. Description:
    www.researchandmarkets.com/reports/29048/optimizing_intrusion_detection_systems.pdf

  • Intrusion Detection Intrusion Detection Intrusion Detection
    File Name: snort5-latest.doc. 1. Intrusion Detection. Intrusion Detection. Intrusion Detection. Intrusion Detection –– 1.2
    www.inf.ucp.br/profs/pcerq/redes3/downloads/snort4-latest.pdf

  • Intrusion Detection/Alarm Systems
    916 Monmouth Street. Newport, KY 41071. Tel: 859.491.7711. Fax: 859.491.5985. www.guardlink.com. Intrusion Detection/Alarm Systems
    www.guardlink.com/downloads/Alarm.pdf

  • Comparing an Immunological and a Rule-Based Intrusion Detection Method
    Comparing an Immunological and a Rule-Based. Intrusion Detection Method. John Hall. Abstract. This paper compares an immunological based detection style
    www.johnmhall.net/research/immunology/TechReports/isnids%20vs%20rule.pdf

  • Optimizing Pattern Matching fIntrusion Detection
    1. Optimizing Pattern Matching fIntrusion Detection. Marc Norton. Abstract – This paper presents an optimized version of. the Aho-Corasick [1] algorithm.
    docs.idsresearch.org/OptimizingPatternMatchingForIDS.pdf

  • Intrusion detection evasion: How Attackers get past the burglar alarm
    SANS Institute 2003, Authretains full rights. Key fingerprint = AF19 FA27 2F94 998D FDB5 DE3D F8B5 06E4 A169 4E46. Key fingerprint = AF19 FA27 2F94 998D
    cnscenter.future.co.kr/resource/security/ids/1284.pdf

  • Intrusion Detection
    Intrusion Detection. or. “Technologies fdetecting anomalous. behaviin distributed systems”. Copyleft (GNU FDL) 2003 Lars Strand
    www.gnist.org/~lars/studies/master/IDS/IDS-pres121203.pdf

  • Layer 2 Analysis of WLAN Discovery Applications fIntrusion
    Abstract. Wireless LAN discovery through the use of applications such as NetStumbler, DStumbler,. Wellenreiter and others is an increasingly popular
    www.polarcove.com/whitepapers/layer2.pdf

  • Privilege Flows Modeling fEffective Intrusion Detection based
    Privilege Flows Modeling fEffective Intrusion. Detection based on HMM. *. ¢¡¤£¤¥§¦© %'&)(. 021§3. 46587@98ACB D¢58EFB G)HPIQGRDS7FTFB 58AVU@WYX 58E@WY5Y`
    ultimavi.arc.net.my/ave/PRICAI2002/Papers.new/Sung-BaeCho.pdf

  • A Clustering Algorithm fIntrusion Detection
    A Clustering Algorithm fIntrusion Detection. Qiang Wang. Vasileios Megalooikonomou. Data Engineering Laboratory (DEnLab)
    knight.cis.temple.edu/~vasilis/Publications/SPIEDSS05.pdf

  • Intrusion Detection via Static Analysis
    Intrusion Detection via Static Analysis. David Wagner. U.C. Berkeley. ¢¡¤£¢¥§¦©. Drew Dean. Xerox PARC. © ¢ $¡&% ¥('§¡ )¦ 10¢ §2&0! 3¦©254. Abstract
    www.cs.jhu.edu/~fabian/courses/CS600.424/course_papers/wagner01intrusion.pdf

  • Intrusion Detection Snort Style
    Intrusion Detection. Snort Style. 2004 State of Maryland IT Security and. Privacy Conference. 2:40 PM September 30. Page 2. Contact Information
    www.dbm.maryland.gov//public_content/dbm_search/security/2004_conference/IntrusionDetSnortStyle.pdf

  • Cisco Secure Intrusion Detection System Version 2.1
    Cisco Secure Intrusion Detection System Version 2.1. Course Length: 3 days. Course Description:. This course provides systems engineers the knowledge and
    www.reagansystems.com/pdf/csids.pdf

  • IT Security Standard: Intrusion Detection and Incident Response
    Computer Security Information. Page 1 of 5. IT Security Standard:. Intrusion Detection and Incident Response. Introduction. This standard defines the steps
    ir.bcc.ctc.edu/itsa/standards/Intrusion%20Detection%20and%20Incident%20Response.pdf

  • Abstract: Intrusion Detection Systems
    Intrusion Detection Systems. Bel G. Raggad. 1. Information Systems Department, Pace University. Pleasantville, NY, 10570, USA
    isedj.org/isecon/2001/36b/ISECON.2001.Raggad.pdf

  • A Dynamic Honeypot Design fIntrusion Detection
    A Dynamic Honeypot Design fIntrusion Detection. Iyad Kuwatly, Malek Sraj, Zaid Al Masri. American University of Beirut
    webfea.fea.aub.edu.lb/proceedings/2004/SRC-ECE-04.pdf

  • Intrusion Detection: Issues and Challenges in Evidence Acquisition
    R. EVIEW OF. L. AW. C. OMPUTERS. & T. ECHNOLOGY. , V. OLUME. 18, N. O . 2, P. AGES. 149–164, J. ULY. 2004. Intrusion Detection: Issues and Challenges in
    taylorandfrancis.metapress.com/index/JQ0B4AVV0AM323W0.pdf

  • An FPGA-based network intrusion detection system with on-chip
    International Journal of Electronics,. Vol. 93, No. 6, June 2006, 403–420. An FPGA-based network intrusion detection system with on-chip. network interfaces
    taylorandfrancis.metapress.com/index/K258205U13774842.pdf

  • Cisco Catalyst 6500 Series Intrusion Detection System (IDSM-2
    Cisco Systems, Inc. All contents are Copyright © 1992–2003 Cisco Systems, Inc. All rights reserved. Important Notices and Privacy Statement. Page 1 of 5
    newsroom.cisco.com/dlls/IDSM2DS.pdf

  • ProtoMon: Embedded Monitors fCryptographic Protocol Intrusion
    ProtoMon: Embedded Monitors fCryptographic Protocol. Intrusion Detection and Prevention. Sachin P. Joglekar. (University of North Texas, Denton, TX, USA
    www.jucs.org/jucs_11_1/protomon_embedded_monitors_for/Joglekar_S_P.pdf

  • Security Solutions Portfolio Juniper Networks Intrusion Detection
    The Juniper Networks Intrusion and Prevention (IDP) solutions. provide in-line attack prevention against worms, viruses, and. Trojans.
    www.datacom.cz/files_datacom/IDP_Juniper_Networks.pdf

  • Secuve IDS (Intrusion Detection System) Frequently Asked Questions
    ILDONG BUILDING 3F, 60 YANGJAE-DONG,. SEOCHO-GU, SEOUL, KOREA 137733. www.secuve.com. Copyright© 2001-2002 by Secuve Co., Ltd. All rights reserved.
    secuve.com/eng/product/IDS_FAQs.pdf

  • Why Choose FFT As Your Intrusion Detection Supplier
    t. s. s. y. y. s. s. t. t. e. e. m. m . . FFT CAMS™ (Central Alarm Monitoring. System) provides security staff with a. simple to understand alarm monitoring
    www.fft.com.au/download/FFT%20CAMS%20Brochure%20US%20Lttr.pdf

  • 1 OFFLINE NETWORK INTRUSION DETECTION: MINING TCPDUMP DATA TO
    Offline Network Intrusion Detection: MINING TCPDUMP Data to Identify Suspicious Activity. Presented at the AFCEA Federal Database Colloquium
    support.sas.com/documentation/onlinedoc/itsv/intrusion.pdf

  • Intrusion Detection Systems September 16th, 2003
    D1 - 04/09/2003. Present document contains informations proprietary to France Telecom. Accepting this document means for. its recipient he she recognizes
    www.setcce.org/natows/slides/ids.pdf

  • An Intrusion-Detection Model
    Network Intrusion Detection. Best of Breed Protection with SNORT. Implementing Snort. Snort can be readily implemented with the help of a special Linux
    www.iltanet.org/PDF/NID.pdf

  • Analysis and Application of Node Layout Algorithms fIntrusion
    Analysis and Application of Node. Layout Algorithms fIntrusion Detection. Robert F. Erbacher and Zhouxuan Teng. Department of Computer Science, LI 67A
    www.cs.albany.edu/~erbacher/publications/NodeLayoutsAlgs-SPIE2003.pdf

  • The Application of Bioinformatics to Network Intrusion Detection
    The Application of Bioinformatics to. Network Intrusion Detection. Keiji Takeda. tkeiji@cmu.edu. Carnegie Mellon CyLab Japan. 39th Annual IEEE International
    www.carnahan2005.ulpgc.es/programme/presentaciones_pdf/12_Miercoles/3b/carnahan_3b_takeda.pdf

  • Intrusion Detection with Support VectMachines and Generative Models
    Intrusion Detection with Support Vector. Machines and Generative Models. John S. Baras and Maben Rabi. Institute fSystems Research and
    www.wam.umd.edu/~rabi/svmID.pdf

  • Technology Brief: Monitored Intrusion Detection Systems
    Technology Brief:. Monitored Intrusion Detection Systems. by Aurobindo Sundaram. Cyber-Crime. Statistics. ➤ 90% of large organizations
    www.net-security.org/dl/articles/Monitored_Int.pdf

  • A Game Theoretic Approach to Modeling Intrusion Detection in
    Proceedings of the 2004 IEEE. Workshop on Information Assurance and Security. T1B2. 1555. United States Military Academy, West Point, NY, 10–11 June 2004
    www.ece.vt.edu/parkjm/Research/paper464.pdf

  • Further Analysis of an Off-Line Intrusion Detection System: An
    Further Analysis of an Off-Line Intrusion Detection System:. An Expanded Case Study in Multi-Objective Genetic Algorithms
    students.ou.edu/D/Pedro.A.Diaz-Gomez-1/Art_SCISS.pdf

  • A Case Study in Genetic Algorithms applied to Off-Line Intrusion
    A Case Study in Genetic Algorithms. applied to Off-Line Intrusion Detection Systems. Pedro A. Diaz-Gomez. Robotics, Evolution,. Adaptation, and Learning
    students.ou.edu/D/Pedro.A.Diaz-Gomez-1/Art_OUFirst.pdf

  • Understanding Intrusion Detection Through Visualisation
    Understanding Intrusion Detection. Through Visualisation. Stefan Axelsson. Akademisk avhandling som favlaggande av teknologie
    www.cs.chalmers.se/~sax/thesisdraft/titelblad.pdf

  • Intrusion Detection Effectiveness Improvement by a Multiagent System
    Intrusion Detection Effectiveness Improvement by a. Multiagent System. Agustın Orfila , Javier Carbo and Arturo Ribagorda
    www.tmrfindia.org/ijcsa/V2I12.pdf

  • Intrusion Detection and Security Auditing In Oracle
    Intrusion Detection and. Security Auditing In. Oracle. White Paper. By Aaron C. Newman, CTO & Founder. www.appsecinc.com. Tel: 1-866-9APPSEC
    www.appsecinc.com/techdocs/IDS_Auditing_Oracle_AppRadar.pdf

  • LNCS 3810 - A New Model fDynamic Intrusion Detection
    A New Model fDynamic Intrusion Detection. Tao Li. 1. , Xiaojie Liu. 1. , and Hongbin Li. 2. 1. Department of Computer Science,
    www.ece.stevens-tech.edu/~hli/mypapers/LiLiuLi05a.pdf

  • Intrusion Detection fWireless Networks
    1. © 2005 Cisco Systems, Inc. All rights reserved. Security in und mit WLAN. Marco Fahrni – Systems Engineer. mfahrni@cisco.com. 13. September 2005
    www.asut.ch/de/..%5Cupload_files%5Cdownloads%5CSecurity%20in%20und%20mit%20WLAN_Cisco.pdf

  • Intrusion Detection and Physics
    SLAC-PUB-8060. February, 1999. Intrusion Detection and Physics. Robert Cowles, Computer Security Officer. Stanford Linear AcceleratCenter
    www.slac.stanford.edu/cgi-wrap/getdoc/slac-pub-8060.pdf

  • Whitepaper: Hiding an Intrusion Detection System (IDS)
    Whitepaper [WP-003]: Hiding an Intruson Detection Systems(IDS): Hide ‘N Go Peek. Page 1. Copyright © 2004 Bob Radvanovsky. All rights reserved.
    www.unixworks.net/papers/wp-003.pdf

  • Ensemble Learning fIntrusion Detection in Computer Networks
    Ensemble Learning fIntrusion Detection. in Computer Networks. Luca Didaci, Giorgio Giacinto and Fabio Roli. Department of Electrical and Electronic
    www-dii.ing.unisi.it/aiia2002/paper/APAUT/Abstract/didaci-aiia02.pdf

  • Feature Selection and Intrusion Detection Using Hybrid Flexible
    439. Feature Selection and Intrusion Detection. Using Hybrid Flexible Neural Tree. Yuehui Chen. 1. , Ajith Abraham. 2. , and Ju Yang
    cilab.ujn.edu.cn/paper/Isnn2005.pdf

  • Social Engineering: Techniques that can bypass Intrusion Detection
    FOCUS on Intrusion Detection: How to defeat any IDS using Social Engineering. Page 1 of 5. http://www.securityfocus.com/focus/ids/articles/socengg.html
    www.stillhq.com/pdfdb/000186/data.pdf

  • Network Intrusion Detection fthe E-Commerce Environment
    http://www.securityfocus.com/focus/ids/articles/idsforecomm.html. 17/10/2000. Network Intrusion Detection fthe E-Commerce Environment. by Eddie Powell
    www.stillhq.com/pdfdb/000194/data.pdf

  • Using Intrusion Detection to Detect Malicious Peer-to-Peer Network
    Using Intrusion Detection to Detect Malicious Peer-to-Peer Network Traffic. Abiola Abimbola, Qi Shi and Madjid Merabti. Liverpool John Moores University,
    www.cms.livjm.ac.uk/pgnet2003/submissions/Paper-25.pdf

  • Effective Intrusion Detection Model through the Combination of a
    J. OURNAL OF. I. NFORMATION. S. CIENCE AND. E. NGINEERING. 22, 1447-1464 (2006). 1447. Effective Intrusion Detection Model through the Combination
    www.iis.sinica.edu.tw/JISE/2006/200611_09.pdf

  • Session 13a9 An Intrusion-Detection Environment fInformation
    Session 13a9. 0-7803-5643-8/99/$10.00 © 1999 IEEE. November 10 - 13, 1999 San Juan, Puerto Rico. 29. th. ASEE/IEEE Frontiers in Education Conference
    fie.engrng.pitt.edu/fie99/papers/1138.pdf

  • Abstract WILLIAMS, LLOYD CARTER. Augmentation of Intrusion
    Abstract. WILLIAMS, LLOYD CARTER. Augmentation of Intrusion Detection Systems Through the. Use of Bayesian Network Analysis. (Under the direction of Robert
    www.lib.ncsu.edu/theses/available/etd-11292005-200153/unrestricted/etd.pdf

  • Deals with developing a model fintrusion detection Hypothesizes
    Deals with developing a model fintrusion detection. Hypothesizes that intrusions can be characterized by abnormal behavi
    people.brandeis.edu/~dkrisman/intrusion_detection_notes.pdf

  • Applying Byzantine Agreement Protocol into intrusion detection in
    1. Applying Byzantine Agreement Protocols to. the. Intrusion. Detection Problem. in. distributed systems. By. Fernando C. Colon Osorio. and Xiaoning Wang
    www.cs.wpi.edu/~fcco/bap-2c.pdf

  • vSecure Network Intrusion Detection HIPAA Compliance
    Chilton Memorial Hospital makes Voyant Strategies'. vSecure Network Intrusion Detection. a "Critical". Component in its. HIPAA Compliance
    www.voyantinc.com/c/chilton_case_study.pdf

  • Intrusion Detection by Intelligent analysis of data across
    Intrusion Detection by Intelligent analysis of data across multiple gateways in. real-time. Joel Scanlan, Samuel Lorimer, Jacky Hartnett and Kevin Manderson
    eprints.utas.edu.au/196/01/IntelligentAnalysis.pdf

  • Intrusion Detection Systems
    Session Outline. •. What is Intrusion ? •. How is it possible to detect Intrusions ? •. Techniques. •. Limitations. •. Current Trends
    www.cdacmumbai.in/~nesys/slides/IDS.pdf

  • Installation instructions fACID on Linux (Analysis Console f
    Installation instructions fACID. (Analysis Console fIntrusion Databases). Updated. 29 Apr 2002. Chris Payne. chris@whitehats.ca
    www.whitehats.ca/main/publications/external_pubs/acid_linux/acid_linux.pdf

  • Distributed Hybrid Agent Based Intrusion Detection and Real-Time
    Distributed Hybrid Agent Based Intrusion. Detection and Real-Time Response System for. Wireless LANs. By. Vaidehi Kasarekar. A master‘s project presented to
    homestead.unl.edu/netgroup/alumnidocs/vaidehi.MS.pdf

  • Vanguard ezSIGNON™: Identity Management, Password Synchronization
    Vanguard ezSIGNON™:. Identity Management,. Password Synchronization,. and intrusion detection for. multi-platform. environments. A Vanguard Integrity
    www.techsearch.co.kr/down/vanguard/white%20paper/WP_ezSignOn.pdf

  • INTRUSION DETECTION AND PREVENTION SYSTEMS
    INTRUSION DETECTION AND. PREVENTION SYSTEMS. Matt Carlson. Andrew Scharlott. mrcarlso@cs.purdue.edu. ascharlo@cs.purdue.edu. CS536 Final Paper. May 05, 2006
    projects.ascharlott.com/files/536_paper.pdf

  • Microsoft PowerPoint - Intrusion Detection.ppt
    Intrusion Detection. Adam Ashenfelter. Nicholas J. Tyrrell. This document is created using PDFmail (Copyright RTE Software) · http://www.pdfmail.com
    islab.oregonstate.edu/koc/ece478/02Report/AT.pdf

  • World Renowned Research Center Deploys Barbedwire Technologies
    Copyright © 2001-2005, Barbedwire Technologies. All rights reserved. All products, logos, brand names companies are trademarks registered trademarks
    www.barbedwiretech.com/solutions/BW_CaseStudy-Berkleylab.pdf

  • Electronic Access Control and Intrusion Detection in K-12 Schools
    Electronic Access Control and. Intrusion Detection in K-12 Schools. A Critical Element in Security Planning. Electronic Access Control (EAC) is an important
    www.compasstec.com/pdf/K12.pdf

  • The Case fCollaborative Distributed Wireless Intrusion
    The Case fCollaborative Distributed Wireless. Intrusion Detection Systems. Raheem A. Beyah, Member, IEEE, Cherita L. Corbett, Member, IEEE,
    www.cs.gsu.edu/rbeyah/HotspotWorm_cr.pdf

  • Distributed Intrusion Detection Platform
    1. Distributed Intrusion Detection Platform. Flexible, scalable and secure. Analytical Network Project. Masters programme on System and Network
    www.os3.nl/2003-2004/ANP/reports/JvB+TN-distributed-intrusion-detection-platform.pdf

  • Guidelines fthe implementation, operation and management of
    Secretariat ISO/IEC JTC 1/SC 27 -. DIN Deutsches Institut für Normung e. V., Burggrafenstr. 6, 10772 Berlin, Germany. Telephone: + 49 30 2601-2652;
    www.incits.org/tc_home/CS1/2006docs/cs1060177.pdf

  • CS 493/693 - Intrusion Detection
    CS 493/693 - Intrusion Detection. Meeting time: 1-2pm. Room 104 Chapman Building. University of Alaska Fairbanks. CS F493-F01 #36664. CS F693-F01 #36665
    www.cs.uaf.edu/2006/spring/cs493/syllabus.pdf

  • Data Mining fNetwork Intrusion Detection System in Real Time
    IJCSNS International Journal of Computer Science and Network Security, VOL.6 No.2B, February 2006. 173. Manuscript revised August 22, 2005.
    www.ijcsns.org/04_journal/200602/200602C11.pdf

  • Snort - Lightweight Intrusion Detection fNetworks Introducing Snort
    1. © Copyright 1999, Martin Roesch. USENIX LISA ‘99 Conference. Snort - Lightweight Intrusion. Detection fNetworks. Martin Roesch
    www.cse.nd.edu/courses/cse458/handouts/snort.pdf

  • Adaptive Network Intrusion Detection Systems in Hardware
    Adaptive Network Intrusion Detection Systems in Hardware. Farnaz Gharibian, Junaid A. Khan, and Ali Ghorbani. (W99bg, junaidk, ghorbani@unb.ca)
    www.cs.unb.ca/itc/ResearchExpo/posters/2006/abs2a.pdf

  • Intrusion Detection Systems: Fixed vs Learning Thresholds
    Intrusion Detection Systems:. Fixed vs Learning Thresholds. By Richard Strong. Abstract:. This paper introduces intrusion detection systems that use anomaly
    www.ece.rutgers.edu/~parashar/Classes/03-04/ece572/project-reps/r-strong.pdf

  • Bypassing Intrusion Detection Systems (IDS)
    Bypassing Intrusion Detection Systems (IDS). Richard Velden, #0103330, Student, LIACS, Derk Geene, #0110841, Student, LIACS
    www.liacs.nl/~rvelden/docs/Bypassing.IDS.pdf

  • 1 Problems in Intrusion Detection
    Articial Intelligence and Intrusion Detection: Current and Future. Directions. JeremyFrank. frank@cs.ucdavis.edu. Division of Computer Science
    www.exroads.com/Reference_Tools/Computer_Networking/Security/pass.asp?passvar=ncsc.94.pdf

  • Operational Experiences with High-Volume Network Intrusion Detection
    Operational Experiences with High-Volume Network Intrusion Detection. Holger Dreger. Anja Feldmann. Vern Paxson. Robin Sommer. TU Munchen. TU Munchen
    ise.gmu.edu/~xwangc/teaching/ISA774/IDS-Reading/CCS04-HighVolumeNID.pdf

  • Sun And Partners Introduce Security Appliances FSpam Filtering
    Sun And Partners Introduce Security Appliances FSpam Filtering And Intrusion. Detection. By InternetWeek.com , InternetWeek. Apr 30, 2003 (12:56 AM)
    www.borderware.com/pdfs/press/press_117.pdf

  • Audit Data Reduction fIntrusion Detection Abstract:
    Audit Data Reduction fIntrusion Detection. S. Mukkamala, G. R. Tadiparthi, N. Tummala, G. Janoski. {srinivas, gopal, ntummala, silfalco}@cs.nmt.edu
    www.thc.segfault.net/root/docs/intrusion_detection/nids/Audit-Data-Reduction-for-Intrusion-Detection.pdf

  • An Intrusion Detection System fPower Attacks
    An Intrusion Detection System fBattery Exhaustion Attacks on. Mobile Computers. Daniel C. Nash. Thesis submitted to the Faculty of the
    scholar.lib.vt.edu/theses/available/etd-05252005-140924/unrestricted/DCN_ETD.pdf

  • A Swarm-Intelligence-Based Intrusion Detection Technique
    IJCSNS International Journal of Computer Science and Network Security, VOL.6 No.7B, July 2006. 146. Manuscript received July 5, 2006.
    www.ijcsns.org/04_journal/200607/200607C03.pdf

  • A STATISTICAL PROCESS CONTROL APPROACH FNETWORK INTRUSION DETECTION
    A STATISTICAL PROCESS CONTROL APPROACH. FNETWORK INTRUSION DETECTION. A Dissertation. Presented to. The Academic Faculty
    etd.gatech.edu/theses/available/etd-01132005-125446/unrestricted/park_yongro_200505_phd.pdf

  • The Snort Network Intrusion Detection System on the Intel IXP2400
    This paper describes an implementation of the Snort Network Intrusion Detection Sys-. tem (Snort NIDS) on the Intel IXP2400 processor.
    www.commlogicdesign.com/pubs/Snort_Network_Intrusion_Detection_System.pdf

  • A Log Analysis based Intrusion Detection System fthe creation
    A Log Analysis based Intrusion Detection System fthe. creation of a Specification Based Intrusion Prevention. System. Andre’ Muscat
    www.cs.um.edu.mt/~csaw/CSAW03/Proceedings/LogAnalysisIDS.pdf

  • Intrusion detection force: an infrastructure finternet-scale
    Intrusion Detection Force:. An Infrastructure fInternet-Scale Intrusion Detection. Lawrence Teo. 1,2. Yuliang Zheng. 1,2. Gail-Joon Ahn
    www.sis.uncc.edu/~yzheng/publications/iwia03-tza-p73.pdf

  • Evolutionism of Intrusion Detection
    1. Evolutionism of Intrusion Detection. Jackie Lai. The network technology changes with each passing day; and the attack technique of
    www.vigorpro.com/uploads/EoID200611171006101.pdf

  • Rules-based Network Intrusion Detection using a Field Programmable
    Rules-based Network Intrusion Detection. using a Field Programmable Gate Array. Christopher Hayes and Yatin Singhal. 16.671 Advanced Computer Architecture,
    faculty.uml.edu/yluo/Teaching/AdvCompArch/reports/HayesSinghalFinalProject.pdf

  • Multi-Source / Multi-Level Intrusion Detection Systems
    2003 Solutionary, Inc. Multi-Source / Multi-Level. Intrusion Detection Systems. Michael J. Hrabik. Solutionary, Inc.
    certconf.org/presentations/2003/Tues/TG4.pdf

  • Intrusion Detection System 16720-1 Copyright © 2002, Chicago
    Intrusion Detection System. 16720-1 Copyright © 2002, Chicago Public Schools. Office of Technology Services. All Rights Reserved. Revision 5 – May 10, 2002
    intranet.cps.k12.il.us/Technology/12/16720_Intrusion_Detection.pdf

  • Probabilistic techniques fintrusion detection based on computer
    266. IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART A: SYSTEMS AND HUMANS, VOL. 31, NO. 4, JULY 2001. Probabilistic Techniques fIntrusion
    www-personal.engin.umd.umich.edu//Ye&Li_al_IEEE%20SMCA%20Probabilistic%20intrusion%20detection.pdf

  • Water Intrusion Detection Using Infrared Cameras - December 7, 2005
    B U I L D I N G E N V E L O P E. C O U N C I L O T T A W A R E G I O N
    www.becor.org/content/downloads/2005-12-07-registration.pdf

  • Selecting Appropriate Counter-Measures in an Intrusion Detection
    Selecting Appropriate Counter-Measures. in an Intrusion Detection Framework. Frederic Cuppens. Sylvain Gombault. Thierry Sans
    www.soon.free.fr/publi/ID.pdf

  • M-ICE Modular Intrusion Detection and Countermeasure Environment
    Copyright and Licence Notes. This document was written and will be maintained by Thomas Biege. The dis-. tribution and modification of this document is
    m-ice.sourceforge.net/docs/developer-guide.pdf

  • Towards an Intrusion Detection System fBattery Exhaustion
    Towards an Intrusion Detection System fBattery Exhaustion Attacks on. Mobile Computing Devices. Daniel C. Nash, Thomas L. Martin, Dong S. Ha,
    www.ece.vt.edu/tlmartin/power-secure/nashd_martint_battery_exhaustion.pdf

  • Virtual Laboratory Intrusion Detection Experience fInformation
    Harvey, Johnson, and Turchek. Sat, Nov 4, 4:30 - 4:55, Bordeaux. Virtual Laboratory Intrusion Detection Experience for. Information Systems Professionals
    isedj.org/isecon/2006/3722/ISECON.2006.Harvey.pdf

  • UTILIZING NEURAL NETWORKS FEFFECTIVE INTRUSION DETECTION
    UTILIZING NEURAL NETWORKS FEFFECTIVE. INTRUSION DETECTION. Martin Botha. a. & Rossouw von Solms. b. a. Port Elizabeth Technikon, South Africa
    icsa.cs.up.ac.za/issa/2004/Proceedings/Full/040.pdf

  • Comparing Intrusion Detection Tools Using Generic Vulnerability
    1. Comparing Intrusion Detection Tools Using Generic. Vulnerability Categories. H.S. VENTER (heins@adam.rau.ac.za). J.H.P. ELOFF (eloff@rkw.rau.ac.za)
    icsa.cs.up.ac.za/issa/2002/proceedings/A025.pdf

  • 1. Intrusion Detection
    2. 005:. S. e. c. u. rit. y. T. u. t. o. rial. 1. Intrusion Detection. 1.1 Introduction. 1.2 Snort Introduction. 1.3 Snort in the network
    www.linuxdays.lu//plonelocalfolderng.2006-01-05.4598423600/Security-Tutorial/Security%20Part%201.pdf

  • Intrusion Detection Systems (IDS)
    Page 1. 6/12/2003. Intrusion Detection Systems. (IDS). What are They and How do They Work? By. Wayne T Work. Security Gauntlet Consulting. 56 Applewood Lane
    www.securitygauntlet.com/docs/IDSExplain.pdf

  • FPGA Based Network Intrusion Detection using Content Addressable
    FPGA Based Network Intrusion Detection using Content Addressable Memories. Long Bu and John A. Chandy. University of Connecticut. Storrs, CT 06269-2157
    snsl.engr.uconn.edu/pubs/fccm04.pdf

  • AMASIR : A Multi Agents System fIntRusion Detection
    V. iew Univ. e. rs. it. y. A. s. sociation, 12th. W. orks. h. op. AMASIR : A Multi Agents System. fIntRusion Detection. C. Kotchap, R. Rentsch
    hpovua.fe.up.pt/~mania/hpovua2005%20papers/Poster1-7.pdf

  • Intrusion Prevention versus Intrusion Detection
    Intrusion Prevention versus. Intrusion Detection. 1. Introduction. Intrusions are a problem endemic to today's networks. If a computer is on the
    www.netbankaudit.com/images/IPSvsIDS_White_Paper.pdf

  • Using Root Cause Analysis to Handle Intrusion Detection Alarms
    Using Root Cause Analysis. to Handle. Intrusion Detection Alarms. Dissertation. zur Erlangung des Grades eines. Doktors der Naturwissenschaften
    deposit.ddb.de/cgibin/dokserv?idn=969432127&dok_var=d1&dok_ext=pdf&filename=969432127.pdf

  • INTRUSION DETECTION IN DEPTH Five Common Attacks Of The Year 2002
    INTRUSION DETECTION IN DEPTH. Five Common Attacks. Of. The Year 2002 at our Network. Introduction. Realizing that customer goodwill is paramount to the
    www.dotslinker.com/workspace/itbutler/pdf/fca.pdf

  • Preemptive Intrusion Detection
    Preemptive Intrusion Detection. 4C03 Technical Paper. Ryan A Oattes. 9913479. April 4, 2003. Academic Section. Intrusion detection is the science of
    www.cas.mcmaster.ca/~wmfarmer/SE-4C03-03/projects/papers/Oattes.pdf

  • Border Patrol: Implementing a network intrusion detection system
    Border Patrol: Implementing a. network intrusion detection system on the. IXP network processor. By,. Michael G. Flanigan. Abstract
    www-scf.usc.edu/~mflaniga/CSCI_558/Border_Patrol.pdf

  • Kernel Intrusion Detection System
    http://www.risesecurity.org. Rodrigo Rubira Branco. rodrigo@kernelhacking.com · rodrigo@risesecurity.org. Kernel Intrusion Detection System
    www.kernelhacking.com/rodrigo/defcon/Defcon.pdf

  • Detecting 0-day attacks with Learning Intrusion Detection System
    Politecnico di Milano. Dip. Elettronica e Informazione. Milano, Italy. Detecting 0-day attacks with. Learning Intrusion Detection System. Stefano Zanero
    www.silvero.net/listing/poul/07apr2005/ids_zanero.pdf

  • Intrusion detection using an ensemble of intelligent paradigms
    a,. *. , Andrew H. Sung. a. , Ajith Abraham. b. a. Department of Computer Science, New Mexico Tech, Socorro, NM 87801, USA
    www.softcomputing.net/jnca2.pdf

  • D-SCIDS: Distributed soft computing intrusion detection system
    Journal of Network and. Computer Applications ] (]]]]) ]]]–]]]. D-SCIDS: Distributed soft computing intrusion. detection system. Ajith Abraham
    www.softcomputing.net/dscids.pdf

  • INTRUSION DETECTION SYSTEM USING SELF ORGANIZING MAP
    Acta Electrotechnica et Informatica No. 1, Vol. 6, 2006. 1. ISSN 1335-8243 © 2006 Faculty of Electrical Engineering and Informatics, Technical University of
    www.aei.tuke.sk/pdf/2006-01/Vokorokos.pdf

  • Intrusion Detection Today (01/20/2000)
    Intrusion Detection - A. definition. • Tools, methods and resources to identify. and assess unauthorized unapproved. activity.
    austinissa.org/public_files/presentations/200001%20Intrusion%20Detection%20Panel%20Discussion.pdf

    COMPUTER FORENSIC BOOK EXTRACTS AND BOOK PAGES ONLINE

  • Also be sure to check out our comprehensive Intrusion Detection Section - Click Here



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    by Eli Cohen Computer Forensics: This course covers the techniques used in the forensic analysis of computerized systems fgathering evidence to detail how a system

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    Dana Scully (Gillian Anderson), X-Files: Uses forensics and scientific thinking to explain strange and seemingly paranormal events.

  • Transforming IT Education: Promoting a Culture of Excellence. - Page 426
    by et al Christine Bruce His current research interests lie in the areas of computer security, intrusion detection and computer forensics. His publications include the recently

  • InspectGeneral, United States Department of Defense Semiannual Report fTransmission to - Page 30
    analysis, and diagnosis in computer investigations and computer forensics. During this reporting period, DCIS computer crimes agents provided

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    Property units Computer and Telecommunication Coordinatnetwork US Attorneys Offices and provides computer forensics support to other agencies.

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    fPaul Coverdell Forensics Sciences Improvement grants. New York Government Security Division fa computer and video forensics laboratory; —

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    Directors recognized the Laboratory's digital evidence examination capabilities on computer seizures, crime scene investigation, firearms forensics,

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    In Colorado, a Venezuelan national pled guilty to illegally accessing and intentionally damaging a protected computer system belonging to a Defense agency.

  • InspectGeneral, United States Department of Defense Semiannual Report fTransmission to - Page 23
    in essential security operations, and provided computer forensics support. to provide agents and support in the area of computer network defense.

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    edited by Don Krysakowski - 1997 Department of Justice, Computer Crime Unit 11:00-11:30 The First E-Cash™ Attorney and Editof EDI Forum Breakout B3 - Forensics of Computer Crime

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    Further, according to the President's Status Report, the DOD has initiated efforts to bolster its encryption capabilities, advance its computer forensics

  • ". . .to insure domestic Tranquility, provide fthe common defence. . ."": Papers From the - Page 214
    In a separate project, dod established the Defense Computer Forensics Lab in September of 1999.34 Among other things, the lab seeks to chase across the

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    The opportunity to draw on a network of experts gave members insight into shared expertise about computer forensics and evidence gathering related to

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    The session represented the first time that wildlife forensics had been the wildlife inspection program by acquiring digital cameras fuse at the

  • The Office of Law Enforcement Annual Report: 2000 - Page 97
    (All accredited ASCLD/LAB forensics laboratories must meet rigorous standards on a Research areas included identification by digital infrared imaging,

  • ATP Focused Program Competition: Digital Video in Information Networks, Selective-Membrane - Page 34
    Digital and the results displayed on a computer screen and immediately transferred drug discovery, forensics, and infectious-agent identification,

  • Firewalls, Web & Internet Security (#3): Conference Proceedings - Page 15
    Prito joining Bellcore, he was responsible fdirecting at&t's global information protection, computer security and network integrity and privacy

  • Air & Space Power Journal spr 04 - Page 80
    The directorate's work in such areas as infor-mation hiding, steganography watermarking, steganalysis, and digital data forensics will greatly enhance war

  • Cyber security a crisis of prioritization - Page 43
    Cyber Forensics: Catching Criminals and Deterring Criminal Activities The rapid including traceback of network traffic • Identifying attackers based on

  • Office of InspectGeneral strategic plan through 2005 - Page 18
    Financial Statement Contract Assistance Agreement Computer Security Fact Agreements Hotline Computer Forensics Systems Audits review the economy,

  • Defense reform initiative organization, status, and challenges: report to the chairman, - Page 69
    DRID 27: DOD Computer Forensics Laboratory and Training Program. dated February 10, 1998. The lab will be responsible fcounterintelligence and f

  • The Office of Law Enforcement Annual Report: 2004 - Page 21
    The Washington Office and Forensics Laboratory developed computer seizure in the field when officers seize computers and recover digital evidence.

  • Predators Among Us - Page 198
    by Julie Posey Ms. Posey is an internationally recognized author, child advocate, Cyber Crime Fighter, computer forensics examiner and speaker.

  • Protecting the homeland report of the Defense Science Board - Page 62
    Feedback control theory, network analysis, advanced modeling techniques, and reconstitution - Traceback, forensics, tagging - IA modeling and simulation

  • Power Media Bluebook W/ Talk Show Guest Directory - Page 188
    by Mitchell P. (CON) Davis - 2005 - 252 pages Novelist and freelance writer with published articles and essays. Interests: Biometrics/forensics, women's issues, writers' issues, small busineas, etc.

  • Bioterrorism information technology strategy could strengthen federal agencies’ abilities to - Page 86
    Its objectives are to achieve zero latency on all network operations and to Forensics Internet Research Exchange (FIRE) DOE/LANL None Development FIRE

  • Departments of Veterans Affairs and Housing And urban Development, and Independent Agencies - Page 49
    $225000 fconstruction of the National Academy of Forensics and Computer Investigations at Central Piedmont Community College in Charlotte, North Carolina

  • Where Parallels Intersect - Page 268
    by Eli Cohen Network Management Notes: PF. Programming Fundamentals (38 core hours) pfl. Computer Infrastructure (1) PT4. Enterprise Deployment Software PT5.

  • Preventing Catastrophic Nuclear Terrorism: Charles D. Ferguson - Page 4
    by Charles D. Ferguson - 2006 - 33 pages According to the US Defense Threat Reduction Agency, the nuclear forensics and domestic nuclear event attribution program became operational last year and

  • The Office of Law Enforcement Annual Report: 2001 - Page 85
    The opening of the world's first wildlife forensics laboratory in 1988 made of a national and global network committed to protecting wildlife resources.

  • 1998 Accountability Report - Page 20
    electronic surveillance technologies, computer forensics, training of tactical operations officers and technical enforcement officers, and audio,

  • My Life As A Cyber Crime Fighter - Page 307
    by Julie Posey Posey shares her expert knowledge of cyber crime and experience as a computer forensics

  • InspectGeneral Semiannual Report to Congress: October 1, 2003 - March 31, 2004 - Page 10
    OIG Technology Crimes Computer Forensics Laboratory The Department was capable of providing the prediction and mapping services to the 18 Department

  • Foreign assistance: any further aid to Haitian justice system should be linked to performancerela - Page 25
    the crowd control unit, the forensics unit, the judicial police, the operations the program helped to install a nationwide police radio network,

  • Directory of Federal Laboratory and Technology Resources: A Guide to Services, Facilities, & - Page 37
    by U.S. Department of commerce., Edward J. (EDT) Lehmann - Science - 1993 This state-of-the-art laboratory features a computer-controlled air handling system that provides a continuous flow of filtered temperature- and humidity-

  • Energy Materials Coordinating Committe (EMaCC): Fiscal Year 2003 Annual Technical Report - Page 116
    The results will be incorporated into the computer models currently in widespread disease diagnosis, forensics, and bioremediation monitoring.

  • Computational Biology: Hearing Before the Committee on Commerce, Science, and Transportation, - Page 62
    edited by Conrad Burns - 1996 — the digital information archive — with its four-letter language; through recombinant DNA technology and transgenic organisms • Forensics,

  • U.S. Department of Energy Performance and Accountability Report: Fiscal Year 2003 - Page 180
    Provide the capability to successfully address the areas of personnel security, physical countermeasures, cyber security (including forensics analysis

  • National strategy fhomeland security - Page 39
    The Laboratory Response Network "will improve laboratory technology and infrastructure to increase the forensic epidemiology, and microbial forensics.

  • Shaping the Future: New Expectations fUndergraduate Education in Science, Mathematics, - Page 23
    by Melvin D. George, Sadie Bragg - 1996 agriculture, forensics, and industrial procedures and processes. project leading to the development of a network of biologists who are working to

  • PM: Program Manager (Online) January February 2001 Issue - Page 59
    one Fellow in Multimodal Human Identification fComputer Security; Peter Chen at Louisiana State University, three Fellows in Cyber- forensics;

  • U.S. Department of Energy Fiscal Year 1998 Accountability Report - Page 125
    Laboratory and a new national network of technical centers to support forensics investigations and to counter biological weapons of mass destruction.

  • Directory of Law Enforcement and Criminal Justice Associations and Research Centers - Page 35
    by Sharon Lyles, Marilyn Leach, Ruth Joel - Reference - 1996 with the following: A Justice Technology Information Network (JUSTNET); investigations, criminalistics and forensics, information systems,

  • James Bong's Ultimate SpyGuide to Marijuana - Page 245
    by Arooka Hide, Martial Arts, Persuade, Sneak Analyst: Computer Use, Library Use, Law, Listen, History, Forensics Farmer: Green Thumb, Hydroponics and Soil,

  • Energy and Water Development Appropriation Bill, 2003: Report (To accompany S. 2784) - Page 103
    in support of the 3-year research effort by the Caucasus Seismic Information Network. forensics and attribution and render- safe technologies.

  • The Backup Book: Disaster Recovery from Desktop to Data Center - Page 257
    by Dorian J. Cougias, E. L. Heiberger, Karsten Koop - 2003 - 754 pages of Standards and Technology's search engine fthe CVE database pro,ect.honeynet.org The Honeynet Project: Learn how to do detailed forensics after a

  • Test Results fHardware Write Block Device: WiebeTech Forensic ComboDock (USB Interface)
    Accomplishing this requires the development of specifications and test methods fcomputer forensics tools and subsequent testing of specific tools against

  • Status and Needs of Forensic Science Service Providers: A Report to Congress - Page 22
    A minimal number of colleges, universities, and training facilities have curriculums devoted to computer forensics and other aspects of digital evidence.

  • InspectGeneral, United States Department of Defense Semiannual Report to the Congress: October - Page 10
    The Army Criminal Investigation Command (CIDC) has computer forensics capability at the CIDC Criminal Investigative Laboratory.

  • Annual performance report fiscal year - Page 11
    Computer Forensics identified a threat against the Administrator, then based on results referred the matter to EPA Office of Criminal Enforcement, Forensics

  • Electronic Crime Needs Assessment fState and Local Law Enforcement - Page 35
    This network would link all Federal and State computer forensic laboratories technical problems in the complex and fast-paced computer forensics field.

  • Forensic Sciences: Review of Status & Needs - Page 57
    Common source determination (eg, metallurgy, oils/grease, drugs, and explosives). • Mitochondrial DNA (eg, hair). • Nonhuman DNA. • Computer forensics.

  • Departments of Commerce, Justice, and State, The judiciary, and Related Agencies Appropriation - Page 78
    -$250000 fthe establishment of a Computer Crime Unit within the Montana research, forensics, computer, and technical assistance and training to

  • Technology assessment cybersecurity fcritical infrastructure protection. - Page 192
    Effectiveness of the technology Computer Forensics Tools What the technology does Computer forensics tools are used to identify, preserve, extract,

  • Information security technologies to secure federal systems. - Page 51
    Computer forensics tools are used during the 33A man-in-the-middle attack\s one in which the attacker intercepts messages in a public key exchange and then

  • Departments of Commerce, Justice, and State, The judiciary, and Related Agencies Appropriations - Page 34
    This funding should be used to hire computer forensic examiners and purchase related Computer Training.—The Committee commends the DEA fworking

  • U.S. Department of Energy Performance and Accountability Report: Fiscal Year 2003
    The newly acquired space increases cfl's capability to conduct computer forensics with systems that contain classified information.

  • InspectGeneral, United States Department of Defense Semiannual Report to the Congress: October - Page 11
    To meet the challenges in this area, the Department established the dod Computer Forensics Laboratory and the dod Computer Investigations Training Program.

  • Departments of Commerce, Justice, and State, The judiciary, and Related Agencies Appropriation - Page 63
    fthe Alaska Court System Information Network; — fthe Marshall University Computer Forensics in WV; —

  • InspectGeneral, United States Department of Defense Semiannual Report fTransmission to - Page 11
    The AFOSI serves as executive agent fthe Defense Cyber Crime Center (DCS), which consists of the Defense Computer Forensics Laboratory (DCFL),

  • 2000 Accountability Report - Page 31
    The Computer Forensics Section provides trained personnel who extract where they were introduced to Linux Operating Systems and network techniques.

  • Crime Technology: Federal Assistance to State & Local Law Enforcement - Page 38
    by Danny R. Burton - 1999 Computer Analysis Response Team: Technical assistance regarding computer technology and computer forensics is provided to federal as well as state and local

  • Making Appropriations fthe Departments of Commerce, Justice, and State, the Judiciary, and - Page 106
    Law Enforcement Division's Computer Evidence Recovery Facility (CERF); is available fPaul Coverdell Forensics Sciences Improvement grants.

  • NIJ Journal Issue No. 254 - Page 22
    mccartney notes that although some standards exist fdigital evidence forensics, the certification of examiners varies widely. And there are no standards

  • National infrastructure protection plan - Page 120
    In fiscal year 2004, the joint DHS/Treasury Computer Investigative Specialist program trained 48 Federal criminal investigators in basic computer forensics.

  • Protecting content in a digital age: promoting broadband and the digital television transition : - Page 25
    We have rejected some of the more onerous controls that have been advanced by the content community, such as: • "Forensics" tracking—which would identify
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