Towards intrusion detection by information retrieval and genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  author =       "Pavel Kromer and Jan Platos and Vaclav Snasel and 
                 Ajith Abraham",
  title =        "Towards intrusion detection by information retrieval
                 and genetic programming",
  booktitle =    "Sixth International Conference on Information
                 Assurance and Security (IAS 2010)",
  year =         "2010",
  month =        "23-25 " # aug,
  pages =        "112--117",
  abstract =     "Fuzzy classifiers and fuzzy rules are powerful tools
                 in data mining and knowledge discovery. In this work,
                 intrusion detection is approached as a data mining task
                 and genetic programming is deployed to evolve fuzzy
                 classifiers for detection of intrusion and security
                 problems. We train the fuzzy classifier on a data set
                 modelled as a fuzzy information retrieval collection
                 and investigate its ability to detect illegitimate
                 actions. Proposed approach is experimentally evaluated
                 on the popular KDD Cup intrusion detection data set.",
  keywords =     "genetic algorithms, genetic programming, KDD Cup
                 intrusion detection data set, data mining, fuzzy
                 classifier, fuzzy rule, information retrieval,
                 knowledge discovery, data mining, fuzzy set theory,
                 information retrieval, pattern classification, security
                 of data",
  DOI =          "doi:10.1109/ISIAS.2010.5604063",
  notes =        "Also known as \cite{5604063}",

Genetic Programming entries for Pavel Kromer Jan Platos Vaclav Snasel Ajith Abraham