Project Grant 2220347

This $375,000 project grant from the National Science Foundation's Engineering program (CFDA 47.041) funds research at Texas A&M Engineering Experiment Station to develop a Strategic Holistic Framework for Intrusion Prevention using Multi-modal Data in Power Systems (SHIELD). The three-year project aims to strengthen national power grid protection against cyber-physical attacks through novel intrusion detection and prevention methods. Researchers will fuse cyber and physical power system data to better detect coordinated attacks and jointly isolate impacted cyber-physical sections to contain damage spread. Key deliverables include comprehensive datasets of power systems under normal operations and attacks, an advanced cyber-physical intrusion detection strategy using machine learning, and an optimal cyber-physical prevention strategy through joint partitioning. The funding supports critical infrastructure protection and STEM education.