Anomaly-Based Intrusion on IoT Networks Using AIGAN-a Generative Adversarial Network
Zhipeng Liu,
Junyi Hu,
Yang Liu
et al.
Abstract:Adversarial attacks have threatened the credibility of machine learning models and cast doubts over the integrity of data. The attacks have created much harm in the fields of computer vision, and natural language processing. In this paper, we focus on the adversarial attack, in particular the poisoning attack, against the network intrusion detection system (NIDS), which is often viewed as the first line of defense against cyber threats. We develop an Anomaly-based intrusion on IoT networks Generative Adversari… Show more
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