Adversarial Sample Generation for Anomaly Detection in Industrial Control Systems

Abdul Mustafa, Muhammad Talha Khan, Muhammad Azmi Umer +2

Machine learning (ML)-based intrusion detection systems (IDS) are vulnerable to adversarial attacks. It is crucial for an IDS to learn to recognize adversarial examples before mali…