• DocumentCode
    3006800
  • Title

    Evolutionary Proactive P2P Worm: Propagation Modeling and Simulation

  • Author

    Zhang, Yejiang ; Li, Zhitang ; Hu, Zhengbing ; Huang, Qingfeng ; Lu, Chuiwei

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan
  • fYear
    2008
  • fDate
    25-26 Sept. 2008
  • Firstpage
    261
  • Lastpage
    264
  • Abstract
    Computer worms evolved continually, faster and smarter. Proactive P2P worms with new "gene" propagate over logical P2P overlay networks defined by peer relationship. Observations suggest that the node degrees of an unstructured P2P network are power law distributed thus we model it as a power law undirected graph. We study propagation process of proactive P2P worm using a dynamic epidemic model. Specifically, we adopt discrete-time to conduct recursive analysis and deterministic approximation to describe propagation of proactive P2P worm. Then we carry out extensive simulation studies, which prove that the mathematical model matches simulation results well.
  • Keywords
    evolutionary computation; graph theory; invasive software; peer-to-peer computing; telecommunication security; P2P overlay network; computer worms; deterministic approximation; dynamic epidemic model; evolutionary proactive P2P worm; power law undirected graph; recursive analysis; Computational modeling; Computer science; Computer simulation; Computer worms; Educational institutions; Genetics; Mathematical model; Peer to peer computing; Power generation; Routing; Invasive software; Modeling methodologies; Peer-to-Peer; Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing, 2008. WGEC '08. Second International Conference on
  • Conference_Location
    Hubei
  • Print_ISBN
    978-0-7695-3334-6
  • Type

    conf

  • DOI
    10.1109/WGEC.2008.75
  • Filename
    4637440