Project Grant 2501649

This $146,967 federal Project Grant award was provided by the National Science Foundation (NSF) Engineering program (CFDA 47.041) to Arizona State University's Division of Electrical, Communications and Cyber Systems, doing business as Orspa. The funding supports research to develop a game-theoretic framework for quickest threat detection in adversarial sensor networks. The project aims to investigate the limits of dual efforts between threat detection and counter-threat-detection techniques in networked adversarial environments. Key research activities include analyzing one data stream under adversarial attacks with temporal structure, multiple independent data streams, and networks with graphical correlation structure. The project is expected to contribute new methodologies and performance characterizations for quickest change detection, adversarial learning, sequential analysis, and game theory. No subawards are planned.