• DocumentCode
    1633832
  • Title

    Revisiting LISYS: parameters and normal behavior

  • Author

    Balthrop, Justin ; Forrest, Stephanie ; Glickman, Matthew R.

  • Author_Institution
    Dept. of Comput. Sci., New Mexico Univ., Albuquerque, NM, USA
  • Volume
    2
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    1045
  • Lastpage
    1050
  • Abstract
    This paper studies a simplified form of LISYS, an artificial immune system for network intrusion detection. The paper describes results based on a new, more controlled data set than that used for earlier studies. The paper also looks at which parameters appear most important for minimizing false positives, as well as the trade-offs and relationships among parameter settings
  • Keywords
    computer network management; security of data; LISYS; artificial immune system; false positive minimization; network intrusion detection; normal behavior; parameter settings; Artificial immune systems; Computer science; Control systems; Detectors; Immune system; Industrial relations; Intrusion detection; Local area networks; Telecommunication traffic; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7803-7282-4
  • Type

    conf

  • DOI
    10.1109/CEC.2002.1004387
  • Filename
    1004387