Dynamic Modeling and Optimal Defending Strategy for Power Advanced Metering Infrastructure Under Distributed Denial-of-Service Attacks

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  • (1. National Key Laboratory of Disaster Prevention and Reduction for Power Grid, Changsha University of Science and Technology, Changsha 410114, China; 2. Ministry of Engineering Center for Power System Security and Supervisory Control Technology, Changsha University of Science and Technology, Changsha 410114, China; 3. School of Electrical and Information Engineering, Hunan Institute of Engineering, Xiangtan 411104, Hunan, China;4. College of Systems Engineering, National University of Defense Technology, Changsha 410073, China)

Online published: 2024-04-10

Abstract

Advanced metering infrastructure is a key component of the new power system. The wide application of heterogeneous communication networks and intelligent terminals makes it vulnerable to cyber-attacks. This paper studies the dynamic modeling and optimal defending strategy of AMI network under distributed denial-of-service attacks. Firstly, the propagation path of DDoS attack in AMI network is analyzed. Combined with complex network theory and SEIR epidemic model, a state evolution model is established to describe the state evolution of nodes in AMI network after DDoS attack. The propagation mechanism and attack tolerance level of DDoS attack in AMI network are analyzed. Then, a defending strategy for flexibly optimizing the deployment of defense resources in AMI networks is proposed with the goal of minimizing defense losses and costs. Finally, the effectiveness of the proposed strategy is verified by a large number of numerical simulations under two different AMI network structures.

Cite this article

LIANG Haolan1, 2, 3 , LIU Dongqi1, 2, ZENG Xiangjun1, 2, ZHANG Qiong1, 2 , ZHANG Tao4 , WANG Rui4 . Dynamic Modeling and Optimal Defending Strategy for Power Advanced Metering Infrastructure Under Distributed Denial-of-Service Attacks[J]. Journal of Shanghai Jiaotong University, 0 : 0 . DOI: 10.16183/j.cnki.jsjtu.2024.006

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