Adaptive Fingerprinting of Control System Devices through Generative Adversarial Networks

This project focuses on the reduction of manual labor and operational cost required for training an electromagnetic (EM)-based anomaly detection system for legacy industrial control systems devices and Industrial Internet of Things. This research would enable EM-based intrusion detection systems to be deployed to protect legacy control systems.