• DocumentCode
    2879324
  • Title

    The Validity for Trusted Forensics Based on Probability

  • Author

    Sun, Guo-Zi ; Dong, Yu ; Liu, Jian-Ping ; Shen, Tao

  • Author_Institution
    Inst. of Comput. Technol., Nanjing Univ. of Posts & Telecommun., Nanjing, China
  • fYear
    2009
  • fDate
    19-20 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Based on probability, the paper recommends a new inference method for validating the trusted forensics. Using graph theory, the original data is formalized to abstract data, and is shown as some nodes in the graph. The operation actions and the forensics methods are abstracted to the edge sets. With these, and using probability theory, the probability of each node is calculated as its credence. With these methods, we can finally deduce the evidence for the trusted forensics.
  • Keywords
    computer forensics; graph theory; probability; abstract data; edge sets; graph theory; inference method; probability theory; trusted forensics; Application software; Computer security; DNA; Forensics; Graph theory; Humans; Mathematical model; Probability; Statistics; Telecommunication computing; graph theory; probability; trusted forensics; validity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4994-1
  • Type

    conf

  • DOI
    10.1109/ICIECS.2009.5367153
  • Filename
    5367153