Electric power cyber-physical systems vulnerability assessment under cyber attack

Author:

Qu Zhengwei,Sun Wenting,Dong Jie,Zhao Jianjun,Li Yang

Abstract

Improving the accuracy of the vulnerability assessment of the power cyber-physical system has important practical value for protecting the vulnerable links of the system and preventing large power outages. This article studies the vulnerability assessment of power cyber-physical systems under cyber-attacks. First, from the perspective of topology, the electrical betweenness is used as the structural vulnerability index of the power system. Based on the power flow characteristics of the power network, the voltage is used as the state vulnerability index. Then, starting from the structure, the node degree and clustering coefficient are selected to analyze the structural vulnerability. Considering the service transmission characteristics of the information system, the power service importance is selected as the vulnerability assessment index of the information system. The two selected indexes are used to construct a quantitative formula, and a comprehensive index is obtained to complete the node vulnerability assessment of the power information system. Then, on the basis of the system vulnerability assessment, we screen to determine the entry and target nodes of network attacks and predict the network attack path. Finally, the effectiveness of the proposed method for vulnerability assessment and feasibility is verified by MATLAB programming simulation.

Publisher

Frontiers Media SA

Subject

Economics and Econometrics,Energy Engineering and Power Technology,Fuel Technology,Renewable Energy, Sustainability and the Environment

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enhancing power communication network security: A comprehensive cyber risk visual analytics framework with real-time risk assessment;Sustainable Energy, Grids and Networks;2024-06

2. Cross-domain risk assessment of cyber power physical system based on network attack;2024 IEEE 7th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC);2024-03-15

3. Research on Source - Grid Planning And Vulnerability Assessment of Low Carbon Station Area Based on Improved DEAHP Method;2023 International Conference on Cyber-Physical Social Intelligence (ICCSI);2023-10-20

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