Journal of Jilin University (Information Science Edition) ›› 2025, Vol. 43 ›› Issue (5): 1158-1164.

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Design of Sensitive Data Security Aggregation Algorithm for Smart Grid End Users

 LI Wei1,2, FENG Yongqing2, ZHANG Tiegang2, MA Chao2, ZHENG Linxin2   

  1. 1. School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China; 2. Information and Communication Branch, Hainan Power Grid, Haikou 570203, China
  • Received:2023-11-16 Online:2025-09-28 Published:2025-11-20

Abstract: To ensure the confidentiality and integrity of sensitive data for smart grid end users, a secure aggregation algorithm for smart grid end user sensitive data is proposed. The establishment of a fog computing architecture is prioritized for sensitive data collection, transmission, and processing of smart grid end users. At the smart meter terminal, the collected user sensitive data is encrypted through the formation and distribution of keys. The encrypted data is aggregated through fine-grained aggregation of fog nodes and coarse-grained aggregation of cloud nodes, and the obtained coarse-grained aggregation dataset of cloud nodes is transmitted to the power service institution through secure transmission channels. By parsing all fine-grained aggregated data stored in the cloud, the corresponding aggregated data plaintext can be obtained to achieve secure aggregation of sensitive data for smart grid end users. The experiment shows that the communication overhead of the proposed algorithm for secure aggregation of sensitive data is below 100 kByte, and the aggregation time is short. And the integrity protection for different types of sensitive data is above 0. 8, indicating that the proposed algorithm has high practicality.

Key words: smart grid, end users, sensitive data, secure aggregation, fog computing system

CLC Number: 

  • TP393