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dc.contributor.authorVaitsekhovich, Leanid
dc.coverage.spatialGliwiceru_RU
dc.date.accessioned2023-11-11T07:04:45Z
dc.date.available2023-11-11T07:04:45Z
dc.date.issued2012
dc.identifier.citationVaitsekhovich, 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).ru_RU
dc.identifier.urihttps://rep.bstu.by/handle/data/37012
dc.descriptionЛеонид Вайцехович. Многослойная структура нейросетевых агентов для обнаружения вторженийru_RU
dc.description.abstractIn 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.ru_RU
dc.language.isoenru_RU
dc.publisherOrganising Committee of the Symposium PPEE Seminar BSEru_RU
dc.subjectнейросетевые агентыru_RU
dc.subjectneural network agentsru_RU
dc.titleMulti-Layer Structure of Neural Network Agents for Intrusion Detectionru_RU
dc.title.alternativeМногослойная структура нейросетевых агентов для обнаружения вторженийru_RU
dc.typeСтатья (Article)ru_RU


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