Practical Traffic-space Adversarial Attacks on Learning-based NIDSs

15 May 2020Dongqi HanZhiliang WangYing ZhongWenqi ChenJiahai YangShuqiang LuXingang ShiXia Yin

Machine learning (ML) techniques have been increasingly used in anomaly-based network intrusion detection systems (NIDS) to detect unknown attacks. However, ML has shown to be extremely vulnerable to adversarial attacks, aggravating the potential risk of evasion attacks against learning-based NIDSs... (read more)

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