• DocumentCode
    2484989
  • Title

    Peer-to-peer based intrusion detection modeling and analysis

  • Author

    Xiaosong, Zhang ; Ting, Chen ; Ma Yue ; Hua, Li

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China (UESTC), Chengdu, China
  • fYear
    2009
  • fDate
    14-17 Oct. 2009
  • Firstpage
    213
  • Lastpage
    217
  • Abstract
    This paper proposes a model of intrusion detection based on peer-to-peer (p2p) mechanism. The crux of our research is that quantitatively analyze the response rate of the global intrusion detection system (IDS). The principal approaches are modeling, deduction and numerical simulation. Theoretical proof and experiments demonstrate that our model is reliable and robust. Based on this model, we draw the following conclusions. First, this model is insensitive to network scale so it is adaptable to large-scale network. Second, response rate depends mostly on peer´s degree. Third, our model does not care about how many peers are aware of intrusion in the beginning. In a word, with proper parameters our model can achieve an extremely rapid response rate.
  • Keywords
    peer-to-peer computing; security of data; global intrusion detection system; large-scale network; peer-to-peer based intrusion detection; Computer science; Information analysis; Intrusion detection; Large-scale systems; Numerical models; Numerical simulation; Paper technology; Peer to peer computing; Reliability theory; Robustness; equations; intrusion detection; modeling; p2p; proof;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Information Networks, 2009. ICFIN 2009. First International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-5158-6
  • Electronic_ISBN
    978-1-4244-5159-3
  • Type

    conf

  • DOI
    10.1109/ICFIN.2009.5339561
  • Filename
    5339561