• DocumentCode
    2695127
  • Title

    AIS for misbehavior detection in wireless sensor networks: Performance and design principles

  • Author

    Drozda, Martin ; Schaust, Sven ; Szczerbicka, Helena

  • Author_Institution
    Leibniz Univ. of Hannover, Hannover
  • fYear
    2007
  • fDate
    25-28 Sept. 2007
  • Firstpage
    3719
  • Lastpage
    3726
  • Abstract
    A sensor network is a collection of wireless devices that are able to monitor physical or environmental conditions. These devices are expected to operate autonomously, be battery powered and have very limited computational capabilities. This makes the task of protecting a sensor network against misbehavior or possible malfunction a challenging problem. In this document we discuss performance of Artificial immune systems (AIS) when used as the mechanism for detecting misbehavior. We concentrate on performance of respective genes; genes are necessary to measure a network´s performance from a sensor´s viewpoint. We conclude that the choice of genes has a profound influence on the performance of the AIS. We identified a specific MAC layer based gene that showed to be especially useful for detection. We also discuss implementation details of AIS when used with sensor networks.
  • Keywords
    artificial immune systems; wireless sensor networks; artificial immune systems; misbehavior detection; wireless sensor networks; Capacitive sensors; Computer networks; Condition monitoring; Detectors; Humans; Immune system; Microorganisms; Protection; Protocols; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1339-3
  • Electronic_ISBN
    978-1-4244-1340-9
  • Type

    conf

  • DOI
    10.1109/CEC.2007.4424955
  • Filename
    4424955