• DocumentCode
    1571788
  • Title

    P2P Distributed Intrusion Detections by Using Mobile Agents

  • Author

    Ye, Dayong ; Bai, Quan ; Zhang, Minjie ; Ye, Zhen

  • Author_Institution
    Sch. of Comput. Sci. & Software Eng., Univ. of Wollongong, Wollongong, NSW
  • fYear
    2008
  • Firstpage
    259
  • Lastpage
    265
  • Abstract
    Traditional hierarchical intrusion detection systems have a central manager which attracts hackers to attack and might overload when there are too many client requests. To overcome these drawbacks, some researchers suggested to apply Peer-to-Peer approaches in intrusion detection. Most current Peer-to-Peer intrusion detection systems only allow hosts to collect related information from "neighbours" (one hop hosts). The limitation of information sources may lead a system to make inaccurate decisions. In this paper, we propose a Mobile Agent Based Peer-to-Peer Distributed Intrusion Detection Framework. Agents are included in this framework to achieve intrusion detections. In addition, a mobile agent migration strategy is applied in the framework to allow agents not only to collect information from direct-linked "neighbours" but also other hosts in the network. Benefitted from agent and Peer-to-Peer techniques, our framework can decrease the overhead of each host in the network, reduce the security risk, and achieve more accurate detections.
  • Keywords
    mobile agents; peer-to-peer computing; security of data; P2P distributed intrusion detections; hierarchical intrusion detection systems; mobile agent migration strategy; peer-to-peer intrusion detection systems; Australia; Computer hacking; Computer science; Distributed computing; Failure analysis; Information security; Intrusion detection; Mobile agents; Peer to peer computing; Software engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Science, 2008. ICIS 08. Seventh IEEE/ACIS International Conference on
  • Conference_Location
    Portland, OR
  • Print_ISBN
    978-0-7695-3131-1
  • Type

    conf

  • DOI
    10.1109/ICIS.2008.21
  • Filename
    4529830