An ensemble-based evolutionary framework for coping with distributed intrusion detection

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "Gianluigi Folino and Clara Pizzuti and 
                 Giandomenico Spezzano",
  title =        "An ensemble-based evolutionary framework for coping
                 with distributed intrusion detection",
  journal =      "Genetic Programming and Evolvable Machines",
  year =         "2010",
  volume =       "11",
  number =       "2",
  pages =        "131--146",
  month =        jun,
  note =         "Special issue on parallel and distributed evolutionary
                 algorithms, part II",
  keywords =     "genetic algorithms, genetic programming, Intrusion
                 detection, Ensemble classifiers, Distributed
                 evolutionary algorithms",
  ISSN =         "1389-2576",
  DOI =          "doi:10.1007/s10710-010-9101-6",
  size =         "16 pages",
  abstract =     "A distributed data mining algorithm to improve the
                 detection accuracy when classifying malicious or
                 unauthorized network activity is presented. The
                 algorithm is based on genetic programming (GP) extended
                 with the ensemble paradigm. GP ensemble is particularly
                 suitable for distributed intrusion detection because it
                 allows to build a network profile by combining
                 different classifiers that together provide
                 complementary information. The main novelty of the
                 algorithm is that data is distributed across multiple
                 autonomous sites and the learner component acquires
                 useful knowledge from this data in a cooperative way.
                 The network profile is then used to predict abnormal
                 behavior. Experiments on the KDD Cup 1999 Data show the
                 capability of genetic programming in successfully
                 dealing with the problem of intrusion detection on
                 distributed data.",

Genetic Programming entries for Gianluigi Folino Clara Pizzuti Giandomenico Spezzano