• DocumentCode
    445533
  • Title

    On the appropriateness of negative selection defined over Hamming shape-space as a network intrusion detection system

  • Author

    Stibor, Thomas ; Timmis, Jonathan ; Eckert, Claudia

  • Author_Institution
    Darmstadt Univ. of Technol., Germany
  • Volume
    2
  • fYear
    2005
  • fDate
    2-5 Sept. 2005
  • Firstpage
    995
  • Abstract
    Artificial immune systems have become popular in recent years as a new approach for intrusion detection systems. Indeed, the (natural) immune system applies very effective mechanisms to protect the body against foreign intruders. We present empirical and theoretical arguments, that the artificial immune system negative selection principle, which is primarily used for network intrusion detection systems, has been copied to naively and is not appropriate and not applicable for network intrusion detection systems.
  • Keywords
    evolutionary computation; security of data; Hamming shape-space; artificial immune system; negative selection; network intrusion detection system; Artificial immune systems; Computer science; Computer worms; Databases; Detectors; Diseases; Immune system; Intrusion detection; Monitoring; Protection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2005. The 2005 IEEE Congress on
  • Print_ISBN
    0-7803-9363-5
  • Type

    conf

  • DOI
    10.1109/CEC.2005.1554799
  • Filename
    1554799