Neural Network Ensembles Design with Self-Configuring Genetic Programming Algorithm for Solving Computer Security Problems

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

@InProceedings{conf/softcomp/SemenkinSP12,
  author =       "Eugene Semenkin and Maria Semenkina and 
                 Ilia Panfilov",
  title =        "Neural Network Ensembles Design with Self-Configuring
                 Genetic Programming Algorithm for Solving Computer
                 Security Problems",
  booktitle =    "International Joint Conference
                 CISIS'12-ICEUTE'12-SOCO'12 Special Sessions",
  year =         "2012",
  editor =       "Alvaro Herrero and Vaclav Snasel and Ajith Abraham and 
                 Ivan Zelinka and Bruno Baruque and 
                 Hector Quintian-Pardo and Jose Luis Calvo-Rolle and 
                 Javier Sedano and Emilio Corchado",
  volume =       "189",
  series =       "Advances in Intelligent Systems and Computing",
  pages =        "25--32",
  address =      "Ostrava, Czech Republic",
  month =        sep,
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming,
                 self-configuring genetic programming, artificial neural
                 networks, ensembles, intrusion detection, spam
                 detection",
  isbn13 =       "978-3-642-33017-9",
  DOI =          "doi:10.1007/978-3-642-33018-6_3",
  bibdate =      "2013-01-28",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/conf/softcomp/soco2012s.html#SemenkinSP12",
  abstract =     "Artificial neural networks based ensembles are used
                 for solving the computer security problems. Ensemble
                 members and the ensembling method are generated
                 automatically with the self-configuring genetic
                 programming algorithm that does not need preliminary
                 adjusting. Performance of the approach is demonstrated
                 with test problems and then applied to two real world
                 problems from the field of computer security, intrusion
                 and spam detection. The proposed approach demonstrates
                 results competitive to known techniques.",
  notes =        "CISIS-2012 ICEUTE-2012 SOCO-2012",
}

Genetic Programming entries for Eugene Semenkin Maria Semenkina Ilia Panfilov

Citations