• DocumentCode
    3347359
  • Title

    An Anomaly Detection System Based on Dendritic Cell Algorithm

  • Author

    Chen, Guo ; Shuo, Peng ; Rong, Jiang ; Chao, Luo

  • Author_Institution
    Coll. of Inf. Sci. & Media, JingGangShan Univ., Jian, China
  • fYear
    2009
  • fDate
    14-17 Oct. 2009
  • Firstpage
    192
  • Lastpage
    195
  • Abstract
    Dendritic cell(DC) is a kind of natural immunocyte, and also is a kind of typical antigen presenting cell, which can stimulate and inhibit immune system. The function of the dendritic cell in the human body can be abstractly extracted as an dendritic cell algorithm(DCA). In this paper we try to extract a new immune algorithm based on the dendritic cell. Through the simulation experiment, an new anomaly detection based on DCA shows more advantages, compared with the conventional anomaly detections.
  • Keywords
    artificial immune systems; security of data; anomaly detection; antigen; dendritic cell algorithm; immune algorithm; immunocyte; Cells (biology); Chaos; Data mining; Educational institutions; Genetics; Immune system; Information science; Intrusion detection; Lymph nodes; Pathogens; AIS; DCA; DCS; anomaly detection system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-0-7695-3899-0
  • Type

    conf

  • DOI
    10.1109/WGEC.2009.129
  • Filename
    5402915