Multi-objective genetic programming with an application to intrusion detection in computer networks

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@PhdThesis{Badran:thesis,
  author =       "Khaled Badran",
  title =        "Multi-objective genetic programming with an
                 application to intrusion detection in computer
                 networks",
  school =       "University of Sheffield",
  year =         "2009",
  address =      "UK",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://ethos.bl.uk/OrderDetails.do?did=1&uin=uk.bl.ethos.505474",
  abstract =     "The widespread connectivity of computers all over the
                 world has encouraged intruders to threaten the security
                 of computing systems by targeting the confidentiality
                 and integrity of information, and the availability of
                 systems. Traditional techniques such as user
                 authentication, data encryption and firewalls have been
                 implemented to defend computer security but still have
                 problems and weak points. Therefore the development of
                 intrusion detection systems (EDS) has aroused much
                 research interest with the aim of preventing both
                 internal and external attacks. In misuse-based,
                 network-based IDS, huge history files of computer
                 network usage are analysed hi order to extract useful
                 information, and rules are extracted to judge future
                 network usage as legal or illegal. This process is
                 considered as data mining for intrusion detection in
                 computer networks.",
  notes =        "uk.bl.ethos.505474",
}

Genetic Programming entries for Khaled M S Badran

Citations