• DocumentCode
    2549667
  • Title

    ASG Automated Signature Generation for Worm-Like P2P Traffic Patterns

  • Author

    Xiao, Fengtao ; Hu, Huaping ; Chen, Xin ; Liu, Bo

  • Author_Institution
    Sch. of Comput. Sci., Nat. Univ. of Defence Technol., Changsha
  • fYear
    2008
  • fDate
    20-22 July 2008
  • Firstpage
    654
  • Lastpage
    660
  • Abstract
    Many P2P software have the similar communication patterns with computer worms, thus they will bring in false positives for behaviour based worm detection. Up to now, little work is done on the research of the similarities between communication patterns of worm and P2P software as well as how to eliminate the worm-like P2P traffic. Based on the analysis of popular P2P software used nowadays and the host process information, this paper presents ASG, which is a novel host based algorithm to generate signatures for worm-like P2P communication patterns. The contribution of our work lies in three aspects: a) Analyzing communication pattern similarities between P2P traffic and worm traffic through examples. b) Designing one practical and simple signature format for worm-like P2P traffic based on the host process information, c) Presenting automated signature generation (ASG) method to extract the signature of worm-like P2P traffic. Experiments with the popular used P2P software show that ASG can effectively extract the signature and reduce the false positives.
  • Keywords
    invasive software; peer-to-peer computing; telecommunication traffic; ASG; P2P software; automated signature generation; worm traffic; worm-like P2P traffic patterns; Computer architecture; Computer science; Computer security; Computer worms; Data mining; Information analysis; Information management; Information security; Pattern analysis; Telecommunication traffic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web-Age Information Management, 2008. WAIM '08. The Ninth International Conference on
  • Conference_Location
    Zhangjiajie Hunan
  • Print_ISBN
    978-0-7695-3185-4
  • Electronic_ISBN
    978-0-7695-3185-4
  • Type

    conf

  • DOI
    10.1109/WAIM.2008.95
  • Filename
    4597081