A grammatical evolution approach to intrusion detection on mobile ad hoc networks

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Sen:2009:WiSec,
  author =       "Sevil Sen and John Andrew Clark",
  title =        "A grammatical evolution approach to intrusion
                 detection on mobile ad hoc networks",
  booktitle =    "WiSec '09: Proceedings of the second ACM conference on
                 Wireless network security",
  year =         "2009",
  pages =        "95--102",
  address =      "Zurich, Switzerland",
  publisher_address = "New York, NY, USA",
  month =        mar # " 16-19",
  publisher =    "ACM",
  language =     "english",
  organisation = "SIGSAC: ACM Special Interest Group on Security, Audit,
                 and Control. ACM: Association for Computing Machinery",
  keywords =     "genetic algorithms, genetic programming, grammatical
                 evolution, Design, Experimentation, Performance,
                 Security, artificial intelligence, intrusion detection,
                 mobile ad hoc networks, security",
  isbn13 =       "978-1-60558-460-7",
  DOI =          "doi:10.1145/1514274.1514289",
  abstract =     "In recent years mobile ad hoc networks (MANETs) have
                 become a very popular research topic. By providing
                 communication in the absence of a fixed infrastructure
                 they are very attractive for many applications such as
                 tactical and disaster recovery operations and virtual
                 conferences. On the other hand, this flexibility
                 introduces new security risks. Moreover, different
                 characteristics of MANETs make conventional security
                 systems ineffective and inefficient for this new
                 environment. Intrusion detection, which is an
                 indispensable part of a security system, presents also
                 a particular challenge due to the dynamic nature of
                 MANETs, the lack of central points, and their highly
                 constrained nodes. In this paper, we propose to
                 investigate the use of an artificial intelligence based
                 learning technique to explore this difficult design
                 space. The grammatical evolution technique inspired by
                 natural evolution is explored to detect known attacks
                 on MANETs such as DoS attacks and route disruption
                 attacks. Intrusion detection programs are evolved for
                 each attack and distributed to each node on the
                 network. The performance of these programs is evaluated
                 on different types of networks with different mobility
                 and traffic patterns to show their effects on intrusion
                 detection ability.",
  notes =        "Also known as \cite{1514289}",
}

Genetic Programming entries for Sevil Sen John A Clark

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