• DocumentCode
    508880
  • Title

    Inference Model of Digital Evidence Based on cFSA

  • Author

    Liu Zhijun ; Wang Ning ; Zhang Huanguo

  • Author_Institution
    Inf. Technol. Dept., Hubei Univ. of Police, Wuhan, China
  • Volume
    2
  • fYear
    2009
  • fDate
    18-20 Nov. 2009
  • Firstpage
    494
  • Lastpage
    497
  • Abstract
    The inference analysis of digital evidence aims to look for the clues for further crime detection or reconstruct the attack actions scenarios for prosecution in court. However, the inference analysis process of computer forensic is more subjective because too much experiential work and sensory presentation are in it. It is even possible that an event never occurred but that an inference conclusion can be fabricated to misdirect crime detection or implicate an innocent person. Based on the analysis of practical inference analysis, the inference model of digital evidence based on a kind of finite state automata with condition (cFSA) is presented, and an event reconstruction theory based on condition-state transition diagram is introduced for detecting the accidental or malicious modification by the investigator and protecting the relatively reliable inference conclusion.
  • Keywords
    computer forensics; finite state machines; cFSA; computer forensic; condition-state transition diagram; crime detection; digital evidence; finite state automata; inference analysis; inference model; Automata; Computer crime; Computer networks; Computer security; Digital forensics; Event detection; Information analysis; Information security; Information technology; Protection; computer forensics; digital evidence; evidence analysis; finite state automata; inference model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Information Networking and Security, 2009. MINES '09. International Conference on
  • Conference_Location
    Hubei
  • Print_ISBN
    978-0-7695-3843-3
  • Electronic_ISBN
    978-1-4244-5068-8
  • Type

    conf

  • DOI
    10.1109/MINES.2009.72
  • Filename
    5368326