Evolving Intrusion Detection Systems

Created by W.Langdon from gp-bibliography.bib Revision:1.4340

  author =       "Ajith Abraham and Crina Grosan",
  title =        "Evolving Intrusion Detection Systems",
  year =         "2006",
  booktitle =    "Genetic Systems Programming: Theory and Experiences",
  pages =        "57--79",
  volume =       "13",
  series =       "Studies in Computational Intelligence",
  editor =       "Nadia Nedjah and Ajith Abraham and 
                 Luiza {de Macedo Mourelle}",
  publisher =    "Springer",
  address =      "Germany",
  email =        "ajith.abraham@ieee.org",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-29849-5",
  URL =          "http://falklands.globat.com/~softcomputing.net/ids-chapter.pdf",
  DOI =          "doi:10.1007/3-540-32498-4_3",
  abstract =     "An Intrusion Detection System (IDS) is a program that
                 analyses what happens or has happened during an
                 execution and tries to find indications that the
                 computer has been misused. An IDS does not eliminate
                 the use of preventive mechanism but it works as the
                 last defensive mechanism in securing the system. We
                 evaluate the performances of two Genetic Programming
                 techniques for IDS namely Linear Genetic Programming
                 (LGP) and Multi-Expression Programming (MEP). Results
                 are then compared with some machine learning techniques
                 like Support Vector Machines (SVM) and Decision Trees
                 (DT). Empirical results clearly show that GP techniques
                 could play an important role in designing real time
                 intrusion detection systems.",
  notes =        "http://www.springer.com/sgw/cda/frontpage/0,11855,5-146-22-92733168-0,00.html",

Genetic Programming entries for Ajith Abraham Crina Grosan