• DocumentCode
    472418
  • Title

    Cooperation Forensic Computing Research

  • Author

    Zhang, Youdong

  • Author_Institution
    Huaiyin Inst. of Technol., Huaiyin
  • fYear
    2008
  • fDate
    23-24 Jan. 2008
  • Firstpage
    25
  • Lastpage
    30
  • Abstract
    The network forensic computing is faced with the question of the complex network intrusion analyses. So a new concept of cooperation forensic computing is defined. Through to extend the theory of function dependency, a new method called probability function dependency relationships is proposed. Combined it with the Bayesian network and K2 algorithm, the network forensic computing algorithm called CFA is proposed. For the complex network attack, CFA is able to synthesize the various forensic data resource to reappearance the crime scenario intuitionally and realize the network forensic analysis effectively.
  • Keywords
    Bayes methods; probability; security of data; telecommunication security; Bayesian network; K2 algorithm; cooperation forensic computing; network forensic computing; network intrusion analysis; probability function dependency relationships; Algorithm design and analysis; Bayesian methods; Complex networks; Computer networks; Data engineering; Data mining; Data preprocessing; Forensics; Knowledge engineering; Network synthesis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Discovery and Data Mining, 2008. WKDD 2008. First International Workshop on
  • Conference_Location
    Adelaide, SA
  • Print_ISBN
    978-0-7695-3090-1
  • Type

    conf

  • DOI
    10.1109/WKDD.2008.128
  • Filename
    4470343