• DocumentCode
    3548974
  • Title

    A Novel Immune Detection Algorithm for Anomaly Detection

  • Author

    Zhang, Yajing

  • Author_Institution
    Inst. of Comput. Sci. & Technol., Yantai Univ.
  • fYear
    2005
  • fDate
    27-29 June 2005
  • Firstpage
    1441
  • Lastpage
    1446
  • Abstract
    Based on research for anomaly detection in the biological immune principles, a change detection algorithm for anomaly detection is provided. Adapted immune mechanism is introduced on the premise of negative selection and clone selection in this algorithm. And a niching strategy is adopted. This paper discussed the problem of anomaly detection in computer immune system roundly and deeply. Shown by simulation experiments, the algorithm improves the problem of hole and keeps variety of antibodies. And its detecting efficiency is increased obviously
  • Keywords
    artificial life; security of data; anomaly detection; antibodies; biological immune principles; change detection algorithm; clone selection; computer immune system; immune detection algorithm; negative selection; niching strategy; vaccine; Biology computing; Cloning; Computer security; Detection algorithms; Detectors; Immune system; Intrusion detection; Protection; Space technology; Vaccines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control, 2005. Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation
  • Conference_Location
    Limassol
  • ISSN
    2158-9860
  • Print_ISBN
    0-7803-8936-0
  • Type

    conf

  • DOI
    10.1109/.2005.1467226
  • Filename
    1467226