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Research of Security Risk in Electric Power Information Network. 2017 6th International Conference on Computer Science and Network Technology (ICCSNT). :361–365.
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2017. The factors that threaten electric power information network are analyzed. Aiming at the weakness of being unable to provide numerical value of risk, this paper presents the evaluation index system, the evaluation model and method of network security based on multilevel fuzzy comprehensive judgment. The steps and method of security evaluation by the synthesis evaluation model are provided. The results show that this method is effective to evaluate the risk of electric power information network.