• DocumentCode
    2564868
  • Title

    Study of an Adaptive Immune Detection Algorithm for Anomaly Detection

  • Author

    Zhang, Ya-jing ; Zhai, Yi-ming ; Du, Zhen-bin ; Liu, Dian-tong

  • fYear
    2007
  • fDate
    15-19 Dec. 2007
  • Firstpage
    574
  • Lastpage
    578
  • Abstract
    On the basis of research for anomaly detection in the biological immune principles, a gene immune detection algorithm is provided. It combines innate immune and adaptive immune mechanism of the biological immune system. An adaptive approach that changes the thresholds of match in real time is suggested. This paper discussed some problems of anomaly detection in computer immune system. Shown by simulation experiments, the algorithm improves self-immunity and variety of antibodies. And it has such advantages as, high detecting efficiency, less computing time and adaptive character. Keywords: A nomaly detection; Immune; Vaccine operator ; Adaptive
  • Keywords
    Biological system modeling; Biology computing; Cloning; Computer security; Detection algorithms; Immune system; Pathogens; Protection; Space technology; Vaccines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security, 2007 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    0-7695-3072-9
  • Electronic_ISBN
    978-0-7695-3072-7
  • Type

    conf

  • DOI
    10.1109/CIS.2007.146
  • Filename
    4415409