By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

7 Author(s)
Maurilio Pereira Coutinho ; Federal University of Itajuba, Av. BPS 1303, Itajuba 37500-503 MG, Brazil ; Germano Lambert-Torres ; Luiz Eduardo Borges da Silva ; Jonas Guedes Borges da Silva
more authors

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.

Published in:

Power Tech, 2007 IEEE Lausanne

Date of Conference:

1-5 July 2007