• DocumentCode
    2271392
  • Title

    Analysis of Pollution Disseminating Model of P2P Network

  • Author

    Mao, JunPeng ; Cui, YanLi ; Huang, Jianhua ; Zhang, Jianbiao

  • Author_Institution
    Nat. Digital Switching Syst. Eng. & Technol. R&D Center, Zhengzhou
  • Volume
    3
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    790
  • Lastpage
    794
  • Abstract
    With peer-to-peer (P2P) technology widely applied, P2P network have become an attacked target of viruses and other malicious code. Among them, pollution attacking of resource is one of most serious threat to P2P file share system. In order to improve the security and transmitting efficiency of P2P network, construct pollution disseminating model of P2P network and analyze the disseminating behavior of polluted resource and legal resource. Main conclusion including, 1) the fluctuation of resource´s popularity effects greatly on disseminating behavior of polluted resource, however, a high popularity of polluted resource do not always means to a fast disseminating ratio; 2) The longer resource´s disseminating time, the less effect of resource´s popularity to the disseminating behavior of polluted and legal resource. 3) The relation between disseminating ratio of polluted resource and share-degree or cognition-degree is inverse ratio, however, disseminating ratio of legal resource approximately exponentially increase with above two factors.
  • Keywords
    computer viruses; peer-to-peer computing; telecommunication security; P2P network; file share system; peer-to-peer technology; pollution disseminating model; resource popularity fluctuation effect; virus attack; Application software; Bandwidth; Fluctuations; Information analysis; Information technology; Intelligent networks; Law; Legal factors; Pollution; Telecommunication traffic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3497-8
  • Type

    conf

  • DOI
    10.1109/IITA.2008.405
  • Filename
    4740105