• DocumentCode
    1895898
  • Title

    Intrusion Prevention System Base on Immune Vaccination

  • Author

    Jiang, YaPing ; Chang, JunLin

  • Author_Institution
    Sch. of Comput. & Commun. Eng., Zhengzhou Univ. o f Light Ind., Zhengzhou, China
  • Volume
    1
  • fYear
    2009
  • fDate
    10-11 Oct. 2009
  • Firstpage
    350
  • Lastpage
    353
  • Abstract
    The theory of modern immunology provides a novel idea to study network intrusion detection and defence system. Inspired information processing in biology immune system is a highly parallel and distributed intelligent computation which has learning, memory, and associative retrieval capabilities. The architecture of multi-agent in depth defence based on immune principle is proposed. The agents of intrusion detection detect all intrusion which passes by the agent, including known and unknown. The information of new intrusion, which gotten from current monitored network is encapsulated and sent to the other network as vaccine by mobile agents. So the other network can prevent the same intrusion. Intrusion packets are prevented from gateway of intrusion source by response agent. The experimental results show that the new model actualizes an active and distributed prevention policy than that of the traditional passive intrusion prevention systems.
  • Keywords
    biology computing; multi-agent systems; security of data; biology immune system; immune vaccination; intrusion prevention system; mobile agents; multi-agent system; network intrusion detection; Biology computing; Computer architecture; Concurrent computing; Distributed computing; Immune system; Information processing; Information retrieval; Intrusion detection; Monitoring; Vaccines; Artificial Immune System; IDS; Multi-Agents; Vaccine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
  • Conference_Location
    Changsha, Hunan
  • Print_ISBN
    978-0-7695-3804-4
  • Type

    conf

  • DOI
    10.1109/ICICTA.2009.92
  • Filename
    5287638