2 papers
cs.CR2026
Recording-Aware Evaluation of Multimodal OT Intrusion Detection
Mustafa Umut Ozbek, Khalil El-Khatib, Li Yang
Machine-learning-based intrusion detection systems (IDSs) for operational technology (OT) are commonly evaluated on benchmark datasets in which normal and attack data are collected…
cs.CR2026
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,…