A novel scalable intrusion detection system based on deep learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Safety, Risk, Reliability and Quality,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s10207-020-00508-5.pdf
Reference50 articles.
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3. Alom, Md.Z., Bontupalli, V., Taha, T.M.: Intrusion detection using deep belief networks. In: 2015 National Aerospace and Electronics Conference (NAECON), pp. 339–344. IEEE (2015)
4. Benaicha, S.E., Saoudi, L., Guermeche, S.E.B., Lounis, O.: Intrusion detection system using genetic algorithm. In: Science and Information Conference (SAI), pp. 564–568. IEEE (2014)
5. Bijone, M.: A survey on secure network: intrusion detection & prevention approaches. Am. J. Inf. Syst. 4(3), 69–88 (2016)
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