Zhi-Qun Jiang

Data-Driven Detection of Stealthy IA Attacks in Industrial Cyber-Physical Systems via DGM Quantification

Industrial cyber-physical systems face increasing security threats from sophisticated cyber attacks. Traditional anomaly detectors generally require exact system models and noise statistics, which are often unavailable in practical industrial environments. To address this, this paper proposes a data-driven security det...