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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Semenkin, E., Semenkina, M., Panfilov, I. (2013). Neural Network Ensembles Design with Self-Configuring Genetic Programming Algorithm for Solving Computer Security Problems. In: Herrero, Á., et al. International Joint Conference CISIS’12-ICEUTE´12-SOCO´12 Special Sessions. Advances in Intelligent Systems and Computing, vol 189. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33018-6_3
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DOI: https://doi.org/10.1007/978-3-642-33018-6_3
Publisher Name: Springer, Berlin, Heidelberg
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