• DocumentCode
    2316369
  • Title

    From digital forensic report to Bayesian network representation

  • Author

    Lee, Robert ; Lang, Sheau-Dong ; Stenger, Kevin

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Univ. of Central Florida, Orlando, FL, USA
  • fYear
    2009
  • fDate
    8-11 June 2009
  • Firstpage
    303
  • Lastpage
    306
  • Abstract
    Computer (digital) forensic examiners typically write a report to document the examination process, including tools used, major processing steps, summary of the findings, and a detailed listing of relevant evidence (files, artifacts) exported to external media (CD, DVD, hard copy) for the case investigator or attorney. However, proper interpretation of the significance of extracted evidence often requires additional consultation with the examiner. This paper proposes a practical methodology for transforming the findings in typical forensic reports to a graphical representation using Bayesian networks (BNs). BNs offer the following advantages: (1) Delineate the cause-effect relationship among relevant pieces of evidence described in the report; and (2) Use probability and established Bayesian inference rules to deal with uncertainty of digital evidence. A realistic forensic report is used to demonstrate this methodology.
  • Keywords
    belief networks; security of data; Bayesian network representation; computer forensic examiners; digital forensic report; graphical representation; typical forensic reports; Bayesian methods; Computer crime; Computer networks; Computer science; DVD; Digital forensics; Hidden Markov models; Motion pictures; Testing; Uncertainty; Bayesian networks; computer forensics; digital evidence; digital forensics; forensic report;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligence and Security Informatics, 2009. ISI '09. IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • Print_ISBN
    978-1-4244-4171-6
  • Electronic_ISBN
    978-1-4244-4173-0
  • Type

    conf

  • DOI
    10.1109/ISI.2009.5137330
  • Filename
    5137330