Neural Network Ensembles Design with Self-Configuring Genetic Programming Algorithm for Solving Computer Security Problems
Created by W.Langdon from
gp-bibliography.bib Revision:1.7975
- @InProceedings{conf/softcomp/SemenkinSP12,
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author = "Eugene Semenkin and Maria Semenkina and
Ilia Panfilov",
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title = "Neural Network Ensembles Design with Self-Configuring
Genetic Programming Algorithm for Solving Computer
Security Problems",
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booktitle = "International Joint Conference
CISIS'12-ICEUTE'12-SOCO'12 Special Sessions",
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year = "2012",
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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",
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volume = "189",
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series = "Advances in Intelligent Systems and Computing",
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pages = "25--32",
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address = "Ostrava, Czech Republic",
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month = sep,
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming,
self-configuring genetic programming, artificial neural
networks, ensembles, intrusion detection, spam
detection",
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isbn13 = "978-3-642-33017-9",
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DOI = "doi:10.1007/978-3-642-33018-6_3",
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bibdate = "2013-01-28",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/conf/softcomp/soco2012s.html#SemenkinSP12",
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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.",
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notes = "CISIS-2012 ICEUTE-2012 SOCO-2012",
- }
Genetic Programming entries for
Eugene Semenkin
Maria Semenkina
Ilia Panfilov
Citations