Enhanced Network Anomaly Detection Based on Deep Neural Networks

Naseer, Sheraz, Saleem, Yasir, Khalid, Shehzad, Bashir, Muhammad Khawar, Han, Jihun, Iqbal, Muhammad Munwar, Han, Kijun·2018·IEEE Access
DOI 10.1109/access.2018.2863036

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  72. SVDD-based Network Traffic Anomaly Detection Method with High Robustness
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