Yihan Liu, Yufei Wang, Hongru Wang, et al. Optimal Cyber-Attack Evaluation for Cross-Domain Cascading Failures Considering Spatiotemporal Synergy of Multiple Attack-Event-Chains[J]. CSEE Journal of Power and Energy Systems, 2026, 12(1): 495-507.
Yihan Liu, Yufei Wang, Hongru Wang, et al. Optimal Cyber-Attack Evaluation for Cross-Domain Cascading Failures Considering Spatiotemporal Synergy of Multiple Attack-Event-Chains[J]. CSEE Journal of Power and Energy Systems, 2026, 12(1): 495-507. DOI: 10.17775/CSEEJPES.2022.00130.
Optimal Cyber-Attack Evaluation for Cross-Domain Cascading Failures Considering Spatiotemporal Synergy of Multiple Attack-Event-Chains
According to the dynamic interaction process between cyber flow and power flow in grid cyber-physical systems (GCPS)
attackers could gradually trigger large-scale power failures through cooperative cyber-attacks
subsequently forming cross-domain cascading failures (CDCF) that cross cyber-domain and power-domain and endanger the stable running of GCPS. To reveal the evolutionary mechanism of CDCF
an optimal attack scheme evaluation method is proposed
considering the spatiotemporal synergy of multiple attack-event-chains. First
in accordance with the spatiotemporal synergy of multiple attack-event-chains
the CDCF evolutionary mechanism is analyzed from the attackers' perspective
and a CDCF mathematical model is established. Furthermore
an attack graph model of CDCF evolution and its hazard calculation method are proposed. Then
the attackers' decision-making process for the optimal attack scheme of CDCF is deduced based on the attack graph model. Finally
both the evaluation and implementation processes of the optimal attack scheme are simulated in the GCPS experimental system based on IEEE-39 bus systems.
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相关作者
Tao Fu
Dexin Wang
Xiaoyuan Fan
Qiuhua Huang
Wen Gao
Huayu Huang
Kaishun Xiahou
Yang Liu
相关机构
Pacific Northwest National Laboratory
School of Electric Power Engineering, South China University of Technology
Digital Grid Research Institute, China Southern Power Grid
Department of Electrical Engineering, State Key Laboratory of Power Systems, TBSI, Tsinghua University
Tsinghua-Berkeley Shenzhen Institute (TBSI), Tsinghua Shenzhen International Graduate School, Tsinghua University