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《Power System Technology》 2013-01
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A Study on Electric Power Information Network-Oriented Security Situation Awareness

XU Ruzhi1,WANG Yufei2(1.School of Control and Computer Engineering,North China Electric Power University,Changping District,Beijing 102206,China;2.Department of Information & Communication,China Electric Power Research Institute,Haidian District,Beijing 100192,China)  
In allusion to precise judgment of security situation of electric power information network,a machine learning-based method for security situation awareness(SSA) is proposed and applied to actual environment.The proposed method abstracts the SSA as classification problem,and the records of actual field monitoring devices are taken as data source and input into classifier to attain awareness results.Based on ball vector machine a classifier is designed,and using quantum genetic algorithm the optimal training parameters of ball vector machine are searched to improve classification accuracy.Results of experiments based on KDD Cup 99 data set and actual operation of SSA system show that the proposed SSA system is better than traditional methods in the accuracy of situation awareness.
【CateGory Index】: TP393.08
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