• DocumentCode
    406183
  • Title

    The evolutionary mechanisms in computer immune system

  • Author

    Ouyang, Ming-Gang ; Pan, Feng ; Wang, Wei-Nong

  • Author_Institution
    Network Center, Shanghai Jiao Tong Univ., China
  • Volume
    1
  • fYear
    2003
  • fDate
    14-17 Dec. 2003
  • Firstpage
    461
  • Abstract
    Multi-agents based computer immune system (MACIS) is an implementation of mechanisms of biological immune system for intrusion detection. In MACIS, the clonal selection is implemented by parthenogenetic algorithm, which is more appropriate for intrusion detection than the traditional genetic algorithm. The mechanisms of co-stimulation and clonal suppression involve the innate immune system and the negative selection, which ensures a low false positive rate.
  • Keywords
    artificial life; genetic algorithms; multi-agent systems; security of data; biological immune system; clonal selection; evolutionary mechanisms; intrusion detection; multiagents based computer immune system; parthenogenetic algorithm; Biological system modeling; Biology computing; Computer networks; Detectors; Genetic algorithms; Immune system; Intelligent networks; Intrusion detection; Pathogens; Pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    0-7803-7702-8
  • Type

    conf

  • DOI
    10.1109/ICNNSP.2003.1279308
  • Filename
    1279308