Attack and Fault Identification in Electric Power Control Systems: An Approach to Improve the Security

This paper presented a technique to extract rules in order to identify attacks and faults to improve security of Electric Power Control Systems. By using Rough Sets Classification Algorithm, a set of rules can be defined. The approach tries to reduce the number of input variables and the number of examples, offering a more compact set of examples to fix the rules to the anomaly detector. An illustrative example is presented.