The use of computational intelligence in intrusion detection systems: A review

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@Article{Wu20101,
  author =       "Shelly Xiaonan Wu and Wolfgang Banzhaf",
  title =        "The use of computational intelligence in intrusion
                 detection systems: A review",
  journal =      "Applied Soft Computing",
  volume =       "10",
  number =       "1",
  pages =        "1--35",
  year =         "2010",
  ISSN =         "1568-4946",
  DOI =          "doi:10.1016/j.asoc.2009.06.019",
  URL =          "http://www.sciencedirect.com/science/article/B6W86-4WV15J9-1/2/07117ede6d9ef58ed75bf405560da6d9",
  keywords =     "genetic algorithms, genetic programming, Survey,
                 Intrusion detection, Computational intelligence,
                 Artificial neural networks, Fuzzy systems, Evolutionary
                 computation, Artificial immune systems, Swarm
                 intelligence, Soft computing",
  abstract =     "Intrusion detection based upon computational
                 intelligence is currently attracting considerable
                 interest from the research community. Characteristics
                 of computational intelligence (CI) systems, such as
                 adaptation, fault tolerance, high computational speed
                 and error resilience in the face of noisy information,
                 fit the requirements of building a good intrusion
                 detection model. Here we want to provide an overview of
                 the research progress in applying CI methods to the
                 problem of intrusion detection. The scope of this
                 review will encompass core methods of CI, including
                 artificial neural networks, fuzzy systems, evolutionary
                 computation, artificial immune systems, swarm
                 intelligence, and soft computing. The research
                 contributions in each field are systematically
                 summarized and compared, allowing us to clearly define
                 existing research challenges, and to highlight
                 promising new research directions. The findings of this
                 review should provide useful insights into the current
                 IDS literature and be a good source for anyone who is
                 interested in the application of CI approaches to IDSs
                 or related fields.",
  notes =        "brief mention of GP",
}

Genetic Programming entries for Shelly Xiaonan Wu Wolfgang Banzhaf

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