MEPIDS: Multi-Expression Programming for Intrusion Detection System

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

@InProceedings{conf/iwinac/GrosanAH05,
  title =        "{MEPIDS}: Multi-Expression Programming for Intrusion
                 Detection System",
  author =       "Crina Grosan and Ajith Abraham and Sang-Yong Han",
  year =         "2005",
  booktitle =    "Artificial Intelligence and Knowledge Engineering
                 Applications: A Bioinspired Approach: First
                 International Work-Conference on the Interplay Between
                 Natural and Artificial Computation, IWINAC 2005,
                 Proceedings, Part II",
  editor =       "Jose Mira and Jose R. Alvarez",
  volume =       "3562",
  series =       "Lecture Notes in Computer Science",
  pages =        "163--172",
  address =      "Las Palmas, Canary Islands, Spain",
  publisher_address = "Berlin / Heidelberg",
  month =        jun # " 15-18",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  bibdate =      "2005-06-15",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/conf/iwinac/iwinac2005-2.html#GrosanAH05",
  ISBN =         "3-540-26319-5",
  ISSN =         "0302-9743",
  URL =          "http://www.cs.ubbcluj.ro/~cgrosan/iwinac05.pdf",
  DOI =          "doi:10.1007/11499305_17",
  size =         "10 pages",
  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. This
                 paper evaluates the performances of Multi-Expression
                 Programming (MEP) to detect intrusions in a network.
                 Results are then compared with Linear Genetic
                 Programming (LGP) approach. Empirical results clearly
                 show that genetic programming could play an important
                 role in designing light weight, real time intrusion
                 detection systems.",
}

Genetic Programming entries for Crina Grosan Ajith Abraham Sang Yong Han

Citations