• DocumentCode
    3279963
  • Title

    Artificial Immune Systems -- an Emergent Technology Performing the Defence of Complex Systems

  • Author

    Negoita, Mircea Gh

  • Author_Institution
    Pertronic Ind. Ltd, Naenae
  • fYear
    2007
  • fDate
    9-10 Aug. 2007
  • Firstpage
    145
  • Lastpage
    150
  • Abstract
    Artificial immune systems (AIS) are still considered in an infancy stage by most of the practitioners in computational intelligence (CI). The AIS methods build adaptive large-scale multi-agent systems that are open to the environment, systems that are not at all fixed just after the design phase, but are real-time adaptive to unpredictable situations and malicious defects. The AIS perform the defence of a complex system against malicious defects achieving its survival strategy by extension of the concept of organization of multicellular organisms to the information systems. The main behavioural features of AIS - as self-maintenance, distributed and adaptive computational systems - are defined and described in relation to the immune system as an information system. AIS methodology is compared with other Intelligent Technologies. The overview of some actual AIS applications is made using a practical engineering design strategy that views AIS as the effective software with agent-based architecture.
  • Keywords
    artificial immune systems; large-scale systems; multi-agent systems; security of data; adaptive large-scale multi-agent systems; artificial immune systems; complex systems; computational intelligence; information systems; malicious defects; multicellular organisms; Adaptive systems; Artificial immune systems; Computational intelligence; Distributed computing; Immune system; Information systems; Large-scale systems; Multiagent systems; Organisms; Real time systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bio-inspired, Learning, and Intelligent Systems for Security, 2007. BLISS 2007. ECSIS Symposium on
  • Conference_Location
    Edinburgh
  • Print_ISBN
    0-7695-2919-4
  • Type

    conf

  • DOI
    10.1109/BLISS.2007.37
  • Filename
    4290957