A New Information Security Risk Assessment Method in Power Production System Based on Rough Sets and Bayesian Network

被引：0
|
作者：
Dai, Zhonghua [1 ]
Gao, Haihui [1 ]
Peng, Yong [1 ]
Lu Huikang [2 ]
机构：
[1] CNITSEC, Beijing, Peoples R China
[2] Shanghai 30wish Informat Secur Co Ltd, Dept ICS Secur, Shanghai, Peoples R China
来源：
2014 TENTH INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING (IIH-MSP 2014) | 2014年
关键词：
power industry; rough set; Bayesian Network; control system; risk assessment;
D O I：
10.1109/IIH-MSP.2014.138
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Power production control system is very important in the power system. In paper, a new method of risk assessment for power system based on rough set theory, fuzzy mathematics and Bayesian network(BN) is presented. Though fuzzy cluster the influencing factors of risk by using compatibles fuzzy rough set, making the minimum risk feature class as a BN node, which can effectively reduce the complexity of the BN structure; At the same time, carry on probabilistic reasoning by using BN, achieve a rapid assessment of risk, then through Anti-fuzzification, obtain the exact value of risks. Finally, examples prove that this method is practicality and effectiveness.
引用
收藏
页码：532 / 536
页数：5
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