Electric Power ›› 2021, Vol. 54 ›› Issue (1): 96-103.DOI: 10.11930/j.issn.1004-9649.202002053

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Information Security Risk Assessment Method for Electric Vehicle Charging Piles Based on Fuzzy Analytic Hierarchy Process

WANG Weixian1, SUN Zhou1, PAN Mingyu1, ZHANG Baoqun1, LI Zhongwei2, YE Lin3   

  1. 1. State Grid Beijing Electric Power Company, Beijing 100075, China;
    2. College of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China;
    3. College of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China
  • Received:2020-02-12 Revised:2020-03-11 Online:2021-01-05 Published:2021-01-11
  • Supported by:
    This work is supported by National Natural Science Foundation of China (No.61872111)

Abstract: In order to quantitatively evaluate the information security level of the electric vehicle charging pile system and identify its vulnerability and hidden security risks, an information security risk assessment scheme and process is designed for electric vehicle charging pile system based on the fuzzy analytic hierarchy process; a security value hierarchical analysis model, a security threat hierarchic analysis model and an evaluation index system are established for the electric vehicle charging pile system assets. The assets of the electric vehicle charging pile system are divided into electric vehicle charging infrastructure pile asset, operation management platform asset, user asset and communication data asset, and they are quantified through investigation and expert opinions obtained by questionnaire surveys. The asset value weight and security threat weight are calculated based on the fuzzy analytic hierarchy process, and consequently the risk value of each asset is calculated. In this way, the fragile points and security risks of the charging pile system are effectively identified, and the corresponding security protection measures and recommendations are provided.

Key words: electric vehicle charging pile, information security assessment, fuzzy analytic hierarchy process