吉林大学学报(信息科学版) ›› 2025, Vol. 43 ›› Issue (5): 1158-1164.

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智能电网终端用户敏感数据安全聚合算法设计

李 薇1,2, 冯永青2, 张铁刚2, 马 超2, 郑琳欣2   

  1. 1. 华北电力大学 电气与电子工程学院,北京102206;2. 海南电网有限责任公司信息通信分公司,海口570203
  • 收稿日期:2023-11-16 出版日期:2025-09-28 发布日期:2025-11-20
  • 作者简介:李薇(1995— ), 女, 海南琼海人, 华北电力大学工程师, 主要从事云计算、 大数据、 网络安全研究, (Tel)86- 15289716918(E-mail)qqq478844@ yeah. net。
  • 基金资助:
    海南电网有限责任公司基金资助项目(202000360012)

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

摘要: 针对保证智能电网终端用户敏感数据的机密性和完整性问题,提出一种智能电网终端用户敏感数据安全聚合算法。 首先优先建立一个适用于智能电网终端用户敏感数据采集、传输和处理的雾计算体系架构。 然后在智能电表终端将采集到的用户敏感数据通过形成和分发密钥完成敏感数据加密,将加密后的数据通过雾节点细粒度聚合和云节点粗粒度聚合实现聚合,并将得到的云节点粗粒度聚合数据集利用安全传输通道传输至电力服务机构。 最后通过解析存储于云端的全部细粒度聚合数据,可获取对应的聚合数据明文,实现智能电网终端 用户敏感数据安全聚合。 实验结果表明,所提算法在进行敏感数据安全聚合时的通信开销在100 kByte以下,且聚合时间较短,同时对不同类型的敏感数据的完整保护性在0.8以上,表明所提算法具有较高的实用性。

关键词: 智能电网, 终端用户, 敏感数据, 安全聚合, 雾计算体系 

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

中图分类号: 

  • TP393