Robustness of Anomaly Detection Models for Industrial Control Systems under Training-Time Data Contamination

Mustafa Umut Ozbek, Taiwo Ojo, Pooria Madani +2

Machine-learning-based anomaly detection is increasingly used in industrial control systems (ICS), yet most studies assume that detector training data is trustworthy. In practice,…