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ABSTRACT

This paper presents an alternative technique for improving the security of Electric Power Control Systems by implementing anomaly detection methods to identify attacks and faults. By using Rough Sets Classifi cation Algorithm, a set of rules can be defi ned. The alternative approach tries to reduce the number of input variables and the number of examples, offering a more compact set of examples to fi x the rules to the anomaly detection process. An illustrative
example is presented.


KEYWORDS

Electric power system, detecting attacks, rough set theory, data mining.

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THE INTERNATIONAL JOURNAL OF FORENSIC COMPUTER SCIENCE - IJoFCS

Volume 2, Number 1, pp 40-49, DOI: 10.5769/J200701003 or http://dx.doi.org/10.5769/J200701003


Detecting Attacks in Electric Power System Critical Infrastructure Using Rough Classification Algorithm


By Maurilio Coutinho, Germano Torres, Luiz Borges Silva, and Horst Lazarec



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