Safety Index, Evaluation Model, and Comprehensive Evaluation Method of Power Information System under Classified Protection 2.0

Gangjun Gong, Qinglin Yuan (), Jiaxuan Yang, Bo Zhou, Zeming Lv, Haixia Yang and Mingfeng Xu
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Gangjun Gong: Beijing Engineering Research Center of Energy Electric Power Information Security, North China Electric Power University, Beijing 102206, China
Qinglin Yuan: Beijing Engineering Research Center of Energy Electric Power Information Security, North China Electric Power University, Beijing 102206, China
Jiaxuan Yang: Beijing Engineering Research Center of Energy Electric Power Information Security, North China Electric Power University, Beijing 102206, China
Bo Zhou: Hangzhou Hikvision Digital Technology Co., Ltd., Hangzhou 311599, China
Zeming Lv: State Grid Dalian Changxing Island Lingang Industrial District Power Supply Company, Dalian 116300, China
Haixia Yang: Beijing Engineering Research Center of Energy Electric Power Information Security, North China Electric Power University, Beijing 102206, China
Mingfeng Xu: State Grid Dalian Changxing Island Lingang Industrial District Power Supply Company, Dalian 116300, China

Energies, 2023, vol. 16, issue 18, 1-25

Abstract: Aiming at the problems of the low integration of the current power information system security assessment method with classified protection 2.0, strong subjectivity, and the vague quantification of objective indexes, this article proposes to establish a safety index system suitable for the electric power information system with the existing safety inspection standards for power systems on the basis of the classified protection 2.0 evaluation system. Additionally, it quantifies each index through a quantitative method combining subjective and objective methods and uses the analytic hierarchy process entropy method to obtain the combined weight of the evaluation index system. Finally, this paper summarizes the expert scores and the graded protection evaluation reports of the six systems into the original data for comprehensive weight calculation and analyzes the rationality of the weight change. The comparison and analysis of the closeness of the TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) and the evaluation score of the equal guarantee have confirmed the scientificity and rationality of the evaluation model. It provides a reasonable logical idea for the implementation of the classified protection 2.0 system in the power information system.

Keywords: classified protection 2.0; electric power information system; analytic hierarchy process; entropy method; TOPSIS (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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