802.11 De-authentication Attack Detection using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Patrick LaRoche and A. Nur Zincir-Heywood",
  title =        "802.11 De-authentication Attack Detection using
                 Genetic Programming",
  editor =       "Pierre Collet and Marco Tomassini and Marc Ebner and 
                 Steven Gustafson and Anik\'o Ek\'art",
  booktitle =    "Proceedings of the 9th European Conference on Genetic
  publisher =    "Springer",
  series =       "Lecture Notes in Computer Science",
  volume =       "3905",
  year =         "2006",
  address =      "Budapest, Hungary",
  month =        "10 - 12 " # apr,
  organisation = "EvoNet",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-33143-3",
  pages =        "1--12",
  DOI =          "doi:10.1007/11729976_1",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  abstract =     "This paper presents a genetic programming approach to
                 detect deauthentication attacks on wireless networks
                 based on the 802.11 protocol. To do so we focus on
                 developing an appropriate fitness function and feature
                 set. Results show that the intrusion system developed
                 not only performs incredibly well - 100 percent
                 detection rate and 0.5 percent false positive rate -
                 but also developed a solution that is general enough to
                 detect similar attacks, such as disassociation attacks,
                 that were not present in the training data.",
  notes =        "Part of \cite{collet:2006:GP} EuroGP'2006 held in
                 conjunction with EvoCOP2006 and EvoWorkshops2006",

Genetic Programming entries for Patrick LaRoche Nur Zincir-Heywood