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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.