• DocumentCode
    3507757
  • Title

    Network-Based Detection Method against Proactive P2P Worms Leveraging Application-Level Knowledge

  • Author

    Li, Zhitang ; Zhang, Yejiang ; Hu, Zhengbing ; Lin, Huaiqing ; Lu, Chuiwei

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan
  • Volume
    3
  • fYear
    2009
  • fDate
    7-8 March 2009
  • Firstpage
    575
  • Lastpage
    579
  • Abstract
    Proactive P2P (peer-to-peer) worm is the most dangerous type of P2P worm which aims at infecting all vulnerable nodes as quickly as possible. In response to such a growing security threat to P2P systems, it is imperative to develop a fast and responsive detection method. In this paper, we propose a network-based detection method against proactive P2P worms leveraging application-level knowledge with change-point detection techniques. Experimental results demonstrate that the proposed method is effective in detecting proactive P2P worms.
  • Keywords
    invasive software; peer-to-peer computing; change-point detection techniques; network-based detection method; peer-to-peer worm; proactive P2P worms leveraging application-level knowledge; Computer science; Computer science education; Computer worms; Educational institutions; Educational technology; Internet; Invasive software; Joining processes; Monitoring; Peer to peer computing; distributed networks; invasive software; security and protection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Computer Science, 2009. ETCS '09. First International Workshop on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-1-4244-3581-4
  • Type

    conf

  • DOI
    10.1109/ETCS.2009.661
  • Filename
    4959380