A novel privacy-preserving data aggregation scheme for smart grids
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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

Clc Number:

TP309

Fund Project:

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

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    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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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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  • Received:June 07,2023
  • Revised:
  • Adopted:
  • Online: April 15,2025
  • Published:
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