EFFICIENCY OF DEEP LEARNING AND MACHINE LEARNING METHODS IN CYBER SECURITY
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Sep 26, 2023
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1. Аль-Ани М., Alshaibi A., Kostyuchenko E. EFFICIENCY OF DEEP LEARNING AND MACHINE LEARNING METHODS IN CYBER SECURITY // ПРОБЛЕМЫ ПРАВОВОЙ И ТЕХНИЧЕСКОЙ ЗАЩИТЫ ИНФОРМАЦИИ, 2023. № 9. P. 7-9. URL: http://journal.asu.ru/ptzi/article/view/13606.
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Проблемы технического обеспечения информационной безопасности
References
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Sivaprasad A. Comparative Analysis of Machine Learning Algorithms Based on the Outcome of Proactive Intrusion Detection System / A. Sivaprasad // SSRN Electronic Journal. 2020. – Т. 10 – № 5 – С.32-37
Yadav R. Comparative Study of Datasets used in Cyber Security Intrusion Detection / R. Yadav, P. Pathak, S. Saraswat // International Journal of Scientific Research in Computer Science, Engineering and Information Technology. 2020. – С. 302–312.
Bhaya W.S. Review on Malware and Malware Detection Using Data Mining Techniques / W.S. Bhaya, M.A. Ali //Journal of University of Babylon for Pure and Applied Sciences. – 2017. – Т. 25. – №. 5. – С. 1585-1601.
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Гураков М.А. Показатели качества систем распознавания пользователей по динамике подписи на основе наивного классификатора Байеса и нейронной сети / М.А. Гураков, Е.О. Кривоносов, Е.Ю. Костюченко // Труды МАИ. – 2016. – №. 86. – С. 18-18.