An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks

Shahadate Rezvy, Yuan Luo, Miltos Petridis, Aboubaker Lasebae, Tahmina Zebin. An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks. In 53rd Annual Conference on Information Sciences and Systems, CISS 2019, Baltimore, MD, USA, March 20-22, 2019. pages 1-6, IEEE, 2019. [doi]

Authors

Shahadate Rezvy

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Yuan Luo

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Miltos Petridis

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Aboubaker Lasebae

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Tahmina Zebin

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