Improving a methodology to extract rules to identify attacks in power system critical infrastructure: New results

Nowadays, National Critical Infrastructures play a fundamental role in modern society. The use of information technology (IT) to achieve service quality produces vulnerabilities and security threats. To safeguard against the threat of cyber-attacks, providers of Critical Infrastructure services also need to maintain the accuracy, assurance and integrity of their interdependent data networks. This paper presents a novel technique for improving the security of electric power system critical infrastructure by implementing anomaly detection methods to identify attacks and faults. By using rough sets classification algorithm, a set of rules can be defined to the anomaly detection process. This can be used for identify attacks and failures and, also, for improving state estimation.