A survey of deep learning-based network anomaly detection

Author:

Kwon Donghwoon,Kim HyunjooORCID,Kim Jinoh,Suh Sang C.,Kim Ikkyun,Kim Kuinam J.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Reference45 articles.

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3. Li, Y., Ma, R., Jiao, R.: Hybrid malicious code detection method based on deep learning. Int. J. Secur. Appl. 9(5), 205–216 (2014)

4. Salama, M.A., Eid, H.F., Ramadan, R.A., Darwish, A., Hassanien, A.E.: Hybrid intelligent intrusion detection scheme. Soft Comput. Ind. Appl. 96, 293–303 (2011)

5. Niyaz, Q., Sun, W., Javaid, A.Y., Alam, M.: A deep learning approach for network intrusion detection system. In: 9th EAI International Conference on Bio-Inspired Information and Communications Technologies, pp. 1–11, May 2016

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