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

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@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