A novel vulnerability index to select measurements for defense against false data injection attacks

During a false data injection attack (FDIA), the attacker compromises the meter readings to corrupt the state estimator's output. One method of managing FDIA is by securing meters that are most vulnerable to attacks. The existing methods may not secure the most vulnerable meters, and may not work in practical scenarios where the utility has budget and time constraints. To solve these issues, a novel vulnerability index is proposed in this paper. The advantage of using the proposed index in finding meters to be secured is demonstrated using IEEE test systems.