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Neural Network Techniques for Intrusion Detection

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Автор
Дата издания
2006
Издательство
BrSTU
Библиографическое описание
Golovko, V. Neural Network Techniques for Intrusion Detection / Vladimir Golovko, Leanid Vaitsekhovich // International Conference on Neural Networks and Artificial Intelligence : proceedings, Brest, 31 May – 2 June, 2006 / Edited: V. Golovko [et al.]. – Brest : BSTU, 2006. – P. 66–69 : il. – Bibliogr.: p. 69 (6 titles).
Аннотация
This paper presents the neural network approaches for building of intrusion detection system (IDS). Existing intrusion detection approaches have same limitations, namely low detection time and recognition accuracy. In order to overcome these limitations we propose several neural network systems for intrusion detection.
URI документа
https://rep.bstu.by/handle/data/37360
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