• DocumentCode
    2894743
  • Title

    Breaking Monocultures in P2P Networks for Worm Prevention

  • Author

    Zhou, Ying ; Wu, Zhong-Fu ; Wang, Hao ; Zhong, Jiang ; Feng, Yong ; Zhu, Zheng-zhou

  • Author_Institution
    Coll. of Comput. Sci., Chongqing Univ.
  • fYear
    2006
  • fDate
    13-16 Aug. 2006
  • Firstpage
    2793
  • Lastpage
    2798
  • Abstract
    Peer-to-peer (P2P) worm has become an interesting research topic during recent years. It is widely believed that the monoculture of P2P systems results in fast worm propagation in P2P networks and software diversity can decrease the virulence of worms and the effectiveness of repeated applications of single attacks. In order to break monocultures in P2P networks, we propose a P2P-based software diversity model and conduct both theoretical analysis and extensive simulations to test the performance of software diversity in containing P2P worm propagation. We find that our proposed software diversity model can efficiently improve the performance of worm prevention in P2P networks
  • Keywords
    invasive software; peer-to-peer computing; P2P networks; P2P-based software diversity model; peer-to-peer monoculture; worm prevention; Application software; Biological system modeling; Computer science; Computer worms; Cybernetics; Diseases; Educational institutions; Intelligent networks; Machine learning; Operating systems; Peer to peer computing; Performance analysis; Software performance; Peer-to-peer network; monocultures; peer-to-peer worm; software diversity; worm propagation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2006 International Conference on
  • Conference_Location
    Dalian, China
  • Print_ISBN
    1-4244-0061-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2006.259000
  • Filename
    4028536