A Methodology to Extract Rules to Identify Attacks in Power System Critical Infrastructure

This paper presented an alternative technique to improve the security of electric power control systems by using anomaly detection to identify attacks and faults. By using rough sets classification algorithm, a set of rules can be defined. The alternative approach tries to reduce the number of input variables and the number of examples, offering a more compact set of examples in order to fix the rules to the anomaly detection process. An illustrative example is presented.