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dc.contributor.authorKachurka, Pavel
dc.contributor.authorKachurka, Viachaslau
dc.coverage.spatialGliwiceru_RU
dc.date.accessioned2023-11-09T14:10:21Z
dc.date.available2023-11-09T14:10:21Z
dc.date.issued2012
dc.identifier.citationKachurka, 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).ru_RU
dc.identifier.urihttps://rep.bstu.by/handle/data/36910
dc.descriptionКачурка Павел, Качурка Вячеслав. Настройка детекторов в интеллектуальных системах обнаружения вторженийru_RU
dc.description.abstractModern 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.ru_RU
dc.language.isoenru_RU
dc.publisherOrganising Committee of the Symposium PPEE Seminar BSEru_RU
dc.subjectзащита данныхru_RU
dc.subjectdata protectionru_RU
dc.subjectнейронные сетиru_RU
dc.subjectискусственная нейронная сетьru_RU
dc.subjectartificial neural networkru_RU
dc.titleDetectors Tuning in the Intelligent Intrusion Detection Systemsru_RU
dc.title.alternativeНастройка детекторов в интеллектуальных системах обнаружения вторженийru_RU
dc.typeНаучный доклад (Working Paper)ru_RU


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