Applying Genetic Programming to Intrusion Detection

Created by W.Langdon from gp-bibliography.bib Revision:1.4202

  title =        "Applying Genetic Programming to Intrusion Detection",
  author =       "Mark Crosbie and Eugene H. Spafford",
  booktitle =    "Working Notes for the AAAI Symposium on Genetic
  year =         "1995",
  editor =       "E. V. Siegel and J. R. Koza",
  pages =        "1--8",
  address =      "MIT, Cambridge, MA, USA",
  publisher_address = "445 Burgess Drive, Menlo Park, CA 94025, USA",
  month =        "10--12 " # nov,
  publisher =    "AAAI",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  URL =          "",
  URL =          "",
  size =         "8 pages",
  abstract =     "This paper presents a potential solution to the
                 intrusion detection problem in computer security. It
                 uses a combination of work in the fields of Artificial
                 Life and computer security. It shows how an intrusion
                 detection system can be implemented using autonomous
                 agents, and how these agents can be built using Genetic
                 Programming. It also shows how Automatically Defined
                 Functions (ADFs) can be used to evolve genetic programs
                 that contain multiple data types and yet retain
                 type-safety. Future work arising from this is also
  notes =        "AAAI-95f GP. Part of \cite{siegel:1995:aaai-fgp} {\em
                 Telephone:} 415-328-3123 {\em Fax:} 415-321-4457 {\em
                 email} {\em URL:}",

Genetic Programming entries for Mark Crosbie Eugene H Spafford