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Multi-Layer Structure of Neural Network Agents for Intrusion Detection
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Дата издания
2012Издательство
Organising Committee of the Symposium PPEE Seminar BSEБиблиографическое описание
Vaitsekhovich, L. Multi-Layer Structure of Neural Network Agents for Intrusion Detection / Leanid Vaitsekhovich // 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. 370–371 : il. – Bibliogr.: p. 371 (6 titles).Аннотация
In this article a multi-agent model of intrusion detection system have been addressed. Three level architecture of agent hierarchy was applied. The algorithm of agent interaction can be described with a directed graph. The model is able to perform a classification of network intrusions by classes as well as by types.
URI документа
https://rep.bstu.by/handle/data/37012Документ расположен в коллекции
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