PAPERS
THE FIRST INTERNATIONAL CONFERENCE ON FORENSIC COMPUTER SCIENCE - ICoFCS 2006
Online ISBN: 978-85-65069-00-1, Print ISSN: 1980-1114, pages 93-99
DOI: 10.5769/C2006014 or http://dx.doi.org/10.5769/C2006014
Detecting Attacks in Electric Power System Critical Infrastructure Using Rough Classification Algorithm
By Maurilio Coutinho, Germano Lambert-Torres, Luiz Eduardo Borges da Silva, and Horst Lazarek
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Online ISBN: 978-85-65069-00-1, Print ISSN: 1980-1114, pages 93-99
DOI: 10.5769/C2006014 or http://dx.doi.org/10.5769/C2006014
Detecting Attacks in Electric Power System Critical Infrastructure Using Rough Classification Algorithm
By Maurilio Coutinho, Germano Lambert-Torres, Luiz Eduardo Borges da Silva, and Horst Lazarek
To dowload this paper, click here.
ABSTRACT
This paper presented 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 anomaIy detection process. An illustrative example is presented.
KEYWORDS
Electric power system, detecting attacks, rough set theory, data mining.
This paper presented 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 anomaIy detection process. An illustrative example is presented.
KEYWORDS
Electric power system, detecting attacks, rough set theory, data mining.
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