面向智能电网的数据聚合隐私保护方案
作者:
作者单位:

1.国网四川省电力公司电力科学研究院,成都 401331;2.重庆大学 大数据与软件学院,重庆 400030

作者简介:

庞博(1994—),男,硕士,主要从事隐私计算应用研究,(E-mail)pang-bo@outlook.com。

通讯作者:

胡春强,男,教授,博士生导师,(E-mail) chu@cqu.edu.cn。

中图分类号:

TP309

基金项目:

国网四川省电力公司科技项目(SGSCDK00LYJS2200130)。


A novel privacy-preserving data aggregation scheme for smart grids
Author:
Affiliation:

1.Electric Power Research Institute of State Grid Sichuan Electric Power Company, Chengdu 401331, P. R. China;2.School of Big Data & Software Engineering, Chongqing University, Chongqing 400030, P. R. China

Fund Project:

Supported by State Grid Sichuan Power Company Science and Technology Project(SGSCDK00LYJS2200130).

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    摘要:

    数据聚合是智能电网通信中的一项关键技术,能够以高效节能的方式收集用户用电数据。随着智能电表的大规模部署,这引发了诸多用户隐私方面的担忧,例如对个人生活习惯的监测。提出了一种高效且保护隐私的数据聚合方案(efficient and privacy-preserving data aggregation,EPPDA)。首先,提出基于区块链的智能电网4层架构支持电力数据聚合。在架构的采集层中,改进了基础的Boneh-Goh-Nissim加密系统,使其更适合于电网隐私保护场景。在架构的平台层,利用区块链的防篡改特性对聚合数据进行有效的存储及查询。性能分析结果表明:提出的EPPDA可以满足智能电网系统的几种隐私特性。实验数据表明:EPPDA在保证数据隐私和安全的条件下降低了计算与通信成本,提高了整个方案的效率。

    Abstract:

    Data aggregation is a key technology in smart grid communication, enabling efficient collection of essential data while optimizing energy usage. However, the large-scale deployment of smart meters raises significant privacy concerns, as it may expose users’ lifestyle habits. To address this issue, this paper proposes an efficient and privacy-preserving data aggregation(EPPDA) scheme for IoT-enabled smart grid, leveraging smart contracts. First, a four-layer blockchain-based architecture is introduced to facilitate secure data aggregation. At the collection layer, the Boneh-Goh-Nissim system is improved to better suit privacy protection scenarios in smart grids. At the platform layer, blockchain’s tamper-proof features are utilized for secure storage and efficient querying of aggregated data. Performance analysis indicates that the proposed EPPDA satisfies key privacy requirements of smart grid systems. Finally, experimental results show that the proposed EPPDA reduces computational and communication costs while improving overall system efficiency.

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引用本文

庞博,张凌浩,梁晖辉,常政威,刘泽伟,胡春强.面向智能电网的数据聚合隐私保护方案[J].重庆大学学报,2025,48(3):38-49.

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  • 收稿日期:2023-06-07
  • 在线发布日期: 2025-04-15
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