Detectors Tuning in the Intelligent Intrusion Detection Systems

Kachurka, Pavel; Kachurka, Viachaslau

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Author

Kachurka, Pavel
Kachurka, Viachaslau

Date

2012

Publisher

Organising Committee of the Symposium PPEE Seminar BSE

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Citation

Kachurka, P. Detectors Tuning in the Intelligent Intrusion Detection Systems / Pavel Kachurka, Viachaslau Kachurka // Proceedings of XIV International PhD Workshop (OWD’2012), Wisla, 20–23 October 2012 / Polish Society of Theoretical and Applied Electrotechnics [et al.] ; edited Marcin Szczgiel. – Gliwice : Organising Committee of the Symposium PPEE Seminar BSE, 2012. – P. 269–273 : il. – Bibliogr.: p. 273–274 (13 titles).

Abstract

Modern Intrusion Detection and Prevention Systems operate with large amount of data. Most host-based systems can analyze big number of traffic features in real-time mode. But the network-based systems cannot gather and analyze network connections in the same way because of the high network speed and traffic overload. One of the approaches is based on the analysis of intrinsic and statistical traffic features using Al methods including artificial neural network (ANN) algorithms. In this work some aspects of ANN-based detectors’ tuning are reviewed. Such tuning is done using genetic algorithms and special fine-tune algorithms. Comparison with non-tuned detectors is given.