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Digital Forensics

Learn the concepts, developments, challenges, and directions in digital forensics. Topics include computer forensics, digital evidence analysis, and expert witness testimony. Get hands-on experience with programming projects and term papers.

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Digital Forensics

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  1. Digital Forensics Dr. Bhavani Thuraisingham The University of Texas at Dallas Introduction to the Course August 24, 2011

  2. Outline of the Unit • Objective of the Course • Outline of the Course • Course Work • Course Rules • Contact • Text Book: Guide to Computer Forensics and Investigations • Latest Edition • Bill Nelson, Amelia Phillips, Frank Enfinger, and Christopher Steuart • Thompson Course Technology

  3. Objective of the Course • The course describes concepts, developments, challenges, and directions in Digital Forensics. • Text Book: Computer Forensics and Investigations. Bill Nelson et al, • Topics include: • Digital forensics fundamentals, systems and tools, Digital forensics evidence and capture, Digital forensics analysis,

  4. Outline of the Course • Introduction to Data and Applications Security and Digital Forensics • SECTION 1: Computer Forensics • Part I: Background on Information Security • Part II: Computer Forensics Overview • Chapters 1, 2, 3, 4, 5 • Part III: Computer Forensics Tools • Chapters 6, 7, 8 • Part IV: Computer Forensics Analysis • Chapters 9, 10 • Part V Applications • Chapters 11, 12, 13

  5. Outline of the Course • Part VI: Expert Witness • Chapters 14, 15, 16 • SECTION II • Selected Papers • Digital Forensics Research Workshop • Guest Lectures • Richardson Police Department • North Texas FBI • Digital Forensics Company in DFW area

  6. Course Work • Two exams each worth 20 points • Exam #1: October 19 • Exam #2: As scheduled; December 9 • Programming project worth 10 points: December 5 • Four homework assignments worth 8 points each • Assignment #1: October 5 • Assignment #2: November 28 • Term paper 8 points: November 17 • Digital Forensics Project 10 points: Done • Total 84 points

  7. Term Paper Outline • Abstract • Introduction • Analyze algorithms, Survey, - - - • Give your opinions • Summary/Conclusions

  8. Programming/Digital Forensics Projects – • Encase evaluation • Develop a system/simulation related to digital forensics • Intrusion detection • Ontology management for digital forensics • Representing digital evidence in XML • Search for certain key words

  9. Term Paper Outline • Abstract • Introduction • Analyze algorithms, Survey, - - - • Give your opinions • Summary/Conclusions

  10. Term Paper Outline • Abstract • Introduction • Analyze algorithms, Survey, - - - • Give your opinions • Summary/Conclusions

  11. Index to Lectures • Lecture 1: August 24, 2011: An introduction to digital forensics was discussed • Lecture 2: August 29, 2011: Intro to data mining • Lecture 3: August 31, 2011: Cyber security overview • Lecture 4: September 7, 2011: Computer Forensics Data Recovery and Evidence Collection and Preservation • Lecture 5: Sept 12, 2011: Data Mining for Malware Detection • Lecture 6: Sept 14. 2011: Data Acquisition, Processing Crime Scenes and Digital Forensics Analysis • Lecture 7: September 19, 2011: File Systems and File Forensics • Lecture 8: Sept 21, Stream-based novel class detection

  12. Index to Lectures • Lecture 9: Sept 21, 2011: Encase Overview • Lecture 9/10: Sept 26, 2011: Complete file system forensics and start lecture 10 – network forensics • Lecture 10 Sept 28, 2011: Network and application forensics (continues) • Lecture 11: Oct 3, 2011: Expert witness and report writing • Lecture 12: October 5, 2011: Validation and Recovering Graphic Files and • Lecture 13: October 10, 2011: Malware • Lecture 14: October 12 Honeypots • Topics for Exam #2 Starts Here • Oct 17: Lecture 15: Secure sharing of digital evidene: XML publishing (will be included in Exam #2) (1) • Oct 19: Exam #1 (no lectures)

  13. Index to Lectures for Exam 2 • October 24: Continued with Lecture 15 • October 26: Lecture 16: Papers: Database tampering (2) • Oct 31: Lecture 17: Physical Storage Analysis (Prof. Lin) (3) • Nov 2: Lecture 18 Papers; Intelligent Digital Forensics (4) • Nov 7: Lecture 19: Image annotation, Guest lecture (ext. cred) • November 9: Lecture 20: Papers, Evidence Correlation (5) • Nov 14: Lecture 21 Insider threat detection, Guest lect. (6) • November 16: Lecture 22: Papers: Framework for DF (7) • November 21: Lecture 23: Guest. Practical aspects, Saylor • November 23: Review, no lectures posted • November 28: Lecture 24: Cyber Forensics (8) • Nov 30: Lect 25: Papers discussed (see Intro unit) (9 and 10) • December 5: Lecture 26 (not included in exam)

  14. Course Rules • Unless special permission is obtained from the instructor, each student will work individually • Copying material from other sources will not be permitted unless the source is properly referenced • Any student who plagiarizes from other sources will be reported to the Computer Science department and any other committees as advised by the department

  15. Contact • For more information please contact • Dr. Bhavani Thuraisingham • Professor of Computer Science and • Director of Cyber Security Research Center Erik Jonsson School of Engineering and Computer Science EC31, The University of Texas at Dallas Richardson, TX 75080 • Phone: 972-883-4738 • Fax: 972-883-2399 • Email: bhavani.thuraisingham@utdallas.edu • http://www.utdallas.edu/~bxt043000/

  16. Papers to Read for October 26, 2011 • http://www.cs.arizona.edu/people/rts/publications.html#auditing • Richard T. Snodgrass, Stanley Yao and Christian Collberg, "Tamper Detection in Audit Logs," In Proceedings of the International Conference on Very Large Databases, Toronto, Canada, August–September 2004, pp. 504–515. • Tamper Detection in Audit Logs • Did the problem occur? (e.g. similar to intrusion detection) • Kyri Pavlou and Richard T. Snodgrass, "Forensic Analysis of Database Tampering," in Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), pages 109-120, Chicago, June, 2006. • Who caused the problem (e.g., similar to digital forensics analysis)

  17. Papers to Read for November 2 • . Papers on Intelligent Digital Forensics • http://dfrws.org/2006/proceedings/7-Alink.pdf • XIRAF – XML-based indexing and querying for digital forensics http://dfrws.org/2006/proceedings/8-Turner.pdf • Selective and intelligent imaging using digital evidence bags • http://dfrws.org/2006/proceedings/9-Lee.pdf • Detecting false captioning using common-sense reasoning

  18. Papers to Read for November 9 • Forensic feature extraction and cross-drive analysis • http://dfrws.org/2006/proceedings/10-Garfinkel.pdf • A correlation method for establishing provenance of timestamps in digital evidence • http://dfrws.org/2006/proceedings/13-%20Schatz.pdf

  19. Papers to Review for November 16 • FORZA – Digital forensics investigation framework that incorporate legal issues • http://dfrws.org/2006/proceedings/4-Ieong.pdf • A cyber forensics ontology: Creating a new approach to studying cyber forensics • http://dfrws.org/2006/proceedings/5-Brinson.pdf • Arriving at an anti-forensics consensus: Examining how to define and control the anti-forensics problem • http://dfrws.org/2006/proceedings/6-Harris.pdf

  20. Papers to Review for November 30 • OPTIONAL PAPER NOT INCLUDED IN EXAM: Advanced Evidence Collection and Analysis of Web Browser Activity", Junghoon Oh, Seungbong Lee and Sangjin Lee http://www.dfrws.org/2011/proceedings/12-344.pdf • Forensic Investigation of Peer-to-Peer File Sharing Network. Robert Erdely, Thomas Kerle, Brian Levine, Marc Liberatore and Clay Shields. http://www.dfrws.org/2010/proceedings/2010-311.pdf • Android Anti-Forensics Through a Local Paradigm. Alessandro Distefano, Gianluigi Me and Francesco Pace. http://www.dfrws.org/2010/proceedings/2010-310.pdf

  21. Paper to read for for Lecture 15 • Elisa Bertino, Barbara Carminati, Elena Ferrari, Bhavani M. Thuraisingham, Amar Gupta: Selective and Authentic Third-Party Distribution of XML Documents. IEEE Trans. Knowl. Data Eng. 16(10): 1263-1278 (2004)

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