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 SM ISO690:2012KOMAR, Myroslav, KOCHAN, Volodymyr, SACHENKO, Anatoliy, ABABII, Victor. Improving of the security of intrusion detection system. In: Conference on Development and Application Systems: DAS 2016 , 19-21 mai 2016, Suceava. New Jersey, SUA: Institute of Electrical and Electronics Engineers Inc., 2016, Ediția a XIII-a, pp. 315-319. ISBN 978-150901993-9. DOI: https://doi.org/10.1109/DAAS.2016.7492594 |
| EXPORT metadate: Google Scholar Crossref CERIF DataCite Dublin Core |
 Conference on Development and Application Systems Ediția a XIII-a, 2016 |
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Conferința "13th International Conference on Development and Application Systems" Suceava, Romania, 19-21 mai 2016 | ||||||
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| DOI:https://doi.org/10.1109/DAAS.2016.7492594 | ||||||
| Pag. 315-319 | ||||||
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Agent-oriented hardware and software are proposed to use in order to improve security of intrusion detection system. A generalized structure of intelligent intrusion detection system was developed. A neural network was used as its main agent. Neural network immune detectors were implemented on the programmable logic arrays in order to detect and classify intrusions. Mamdani fuzzy inference rules were applied to counteract intrusions. A decision-making subsystem structure was developed. |
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| Cuvinte-cheie intrusion detection system, intelligent multi-agent system, neural network, immune system, Mamdani fuzzy inference |
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