• DocumentCode
    437560
  • Title

    A new immunity-based model for network intrusion detection

  • Author

    Li, Ruifan ; Wang, Cong ; Tu, Xuyan

  • Author_Institution
    Sch. of Inf. Eng., Beijing Univ. of Posts & Telecommun., China
  • fYear
    2005
  • fDate
    19-22 March 2005
  • Firstpage
    106
  • Lastpage
    109
  • Abstract
    Natural immune system has many features for inspirations to computer security. From this paradigm, a new multi-agent model for network-based intrusion detection system is presented. We briefly summarize the main mechanisms of immunology from information processing perspective and concisely review the related works. Moreover, some mechanisms, including cloning with hyper-mutation, affinity maturation, and stigmergy are incorporated to this new model for network intrusion detection. Its conceptual view and working mechanism are described, and its characteristics, autonomous, robust, adaptable, and lightweight, are discussed.
  • Keywords
    multi-agent systems; security of data; computer security; immunity-based model; multi-agent model; natural immune system; network intrusion detection; Cloning; Computer security; Diseases; Immune system; Information processing; Information security; Intrusion detection; Pathogens; Protection; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking, Sensing and Control, 2005. Proceedings. 2005 IEEE
  • Print_ISBN
    0-7803-8812-7
  • Type

    conf

  • DOI
    10.1109/ICNSC.2005.1461170
  • Filename
    1461170