Journal of Shanghai Jiao Tong University ›› 2025, Vol. 59 ›› Issue (11): 1660-1674.doi: 10.16183/j.cnki.jsjtu.2024.006

• New Type Power System and the Integrated Energy • Previous Articles     Next Articles

Dynamic Modeling and Optimal Defense Strategy Against DdoS Attacks on Power Advanced Metering Infrastructure

LIANG Haolan1,2,3, LIU Dongqi1,2(), ZENG Xiangjun1,2, ZHANG Qiong1,2, ZHANG Tao4, WANG Rui4   

  1. 1 National Key Laboratory of Disaster Prevention and Reduction for Power Grid, Changsha University of Science and Technology, Changsha 410114, China
    2 Engineering Research Center for Power System Security and Supervisory Control Technology of the Ministry of Education, 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
  • Received:2024-01-05 Revised:2024-03-14 Accepted:2024-03-27 Online:2025-11-28 Published:2025-12-02
  • Contact: LIU Dongqi E-mail:liudongqi@csust.edu.cn

Abstract:

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

Key words: advanced metering infrastructure (AMI), distributed denial-of-service (DDoS) attacks, dynamic SEIR epidemic model, complex network theory, optimal control

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