Privacy-preserving multi-dimensional multi-function data aggregation scheme in smart grid

WANG Yuanyuan; HAN Yiliang; WU Liqiang; LI Yu; YAO Wujun; WU Xuguang; ZHU Shuaishuai

doi:10.11959/j.issn.2096-109x.2025037

您当前的位置：

首页 >

文章列表页 >

Privacy-preserving multi-dimensional multi-function data aggregation scheme in smart grid

Papers | 更新时间：2025-06-30

- Privacy-preserving multi-dimensional multi-function data aggregation scheme in smart grid
- Chinese Journal of Network and Information Security Vol. 11, Issue 3, Pages: 163-174(2025)
- 作者机构：
  
  1.武警工程大学密码工程学院，陕西西安 710086
  2.武警工程大学反恐指挥信息工程教育部重点实验室，陕西西安 710086
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-109x.2025037
  CLC： TP393
- Received：10 February 2025，
  
  Revised：2025-03-30，
  
  Published：25 June 2025
- 稿件说明：
移动端阅览
王圆圆, 韩益亮, 吴立强, 等. 智能电网中隐私保护的多维多函数数据聚合方案[J]. 网络与信息安全学报, 2025, 11(3): 163-174.

Format: WANG Y Y, HAN Y L, WU L Q, et al. Privacy-preserving multi-dimensional multi-function data aggregation scheme in smart grid[J]. Chinese Journal of Network and Information Security, 2025, 11(3): 163-174.
王圆圆, 韩益亮, 吴立强, 等. 智能电网中隐私保护的多维多函数数据聚合方案[J]. 网络与信息安全学报, 2025, 11(3): 163-174. DOI： 10.11959/j.issn.2096-109x.2025037.

Format: WANG Y Y, HAN Y L, WU L Q, et al. Privacy-preserving multi-dimensional multi-function data aggregation scheme in smart grid[J]. Chinese Journal of Network and Information Security, 2025, 11(3): 163-174. DOI： 10.11959/j.issn.2096-109x.2025037.

摘要

智能电网中精细的用户数据可以有效支撑电网运行。目前，如何在不影响用户隐私的前提下，实现数据的功能性分析，尤其是数据的多维化和多函数操作，是一个亟待解决的问题。现有数据聚合方案大多基于Paillier和BGN加密系统，无法同时兼顾数据的多维化和多函数操作。针对这个问题，设计了一种基于半同态加密的多维多函数数据聚合方案，旨在保护用户隐私的同时，实现电表数据的多维化和多函数操作。该方案通过引入部分同态加密的机制，利用盲化因子和哈希函数技术，增强了数据的机密性和利用率。通过安全性分析证明该方案能够抵抗选择明文攻击，并且在计算效率方面优于基于Paillier加密的方案。

Abstract

In smart grid

fine-grained user data can be effectively leveraged to support grid operation. However

achieving functional analysis of such data

especially its multi-dimensionalization and multi-functional operation

without compromising user privacy has been identified as an urgent problem. Most existing data aggregation schemes were based on the Paillier and BGN encryption systems

which failed to simultaneously address the multi-dimensionalization and multi-functional operation of data. To tackle this issue

a multi-dimensional and multi-functional data aggregation scheme was designed based on semi-homomorphic encryption. This scheme aimed to enable the multi-dimensionalization and multi-functional operation of meter data while protecting user privacy. The mechanism of partial homomorphic encryption was introduced

and blinding factor and hash function techniques were utilized. These enhancements significantly improved data confidentiality and utility. Security analysis indicates that the scheme is robust against chosen ciphertext attacks. In terms of computational efficiency

it outperforms existing schemes based on the Paillier encryption system.

关键词

Keywords

references

SHANG S , LI X , GU K , et al . A robust privacy-preserving data aggregation scheme for edge-supported IIoT [J ] . IEEE Transactions on Industrial Informatics ， 2024 ， 20 ( 3 ): 4305 - 4316 .

CHEN Y , YANG S , MARTÍNEZ-ORTEGA J F , et al . A resilient group-based multisubset data aggregation scheme for smart grid [J ] . IEEE Internet of Things Journal , 2023 , 10 ( 15 ): 13649 - 13661 .

SONG Z , ZHONG W , ZHOU T , et al . SEMDA: Secure and efficient multidimensional data aggregation in smart grid without a trusted third party [J ] . Security and Communication Networks , 2023 , 2023 : 1 - 13

WU L , XU M , FU S , et al . FPDA: Fault-tolerant and privacy-enhanced data aggregation scheme in fog-assisted smart grid [J ] . IEEE Internet of Things Journal , 2022 , 9 ( 7 ): 5254 - 5265 .

WANG X , LIU Y , CHOO K K R . Fault-tolerant multisubset aggregation scheme for smart grid [J ] . IEEE Transactions on Industrial Informatics , 2021 , 17 ( 6 ): 4065 - 4072 .

KHAN H M , KHAN A , JABEEN F , et al . Privacy preserving data aggregation with fault tolerance in fog-enabled smart grids [J ] . Sustainable Cities and Society , 2021 , 64 : 102522 .

XUE K , ZHU B , YANG Q , et al . An efficient and robust data aggregation scheme without a trusted authority for smart grid [JL ] . IEEE Internet of Things Journal , 2020 , 7 ( 3 ): 1949 - 1959 .

LYU L , NANDAKUMAR K , RUBINSTEIN B , et al . PPFA: Privacy preserving fog-enabled aggregation in smart grid [J ] . IEEE Transactions on Industrial Informatics , 2018 , 14 ( 8 ): 3733 - 3744 .

ABDALLAH A , SHEN X S . A lightweight lattice-based homomorphic privacy-preserving data aggregation scheme for smart grid [J ] . IEEE Transactions on Smart Grid , 2018 , 9 ( 1 ): 396 - 405 .

WANG H , WANG Z , DOMINGO-FERRER J . Anonymous and secure aggregation scheme in fog-based public cloud computing [J ] . Future Generation Computer Systems , 2018 , 78 : 712 - 719 .

LIU J N , WENG J , YANG A , et al . Enabling efficient and privacy-preserving aggregation communication and function query for fog computing-based smart grid [J ] . IEEE Transactions on Smart Grid , 2020 , 11 ( 1 ): 247 - 257 .

CHEN D , ZHOU T , LIU W , et al . MDA-FLH: Multidimensional data aggregation scheme with fine-grained linear homomorphism for smart grid [J ] . IEEE Internet of Things Journal , 2024 , 11 ( 2 ): 3524 - 3538 .

SHEN H , ZHANG M , SHEN J . Efficient privacy-preserving cube-data aggregation scheme for smart grids [J ] . IEEE Transactions on Information Forensics and Security , 2017 , 12 ( 6 ): 1369 - 1381 .

ZENG Z , WANG X , LIU Y , et al . MSDA: multi-subset data aggregation scheme without trusted third party [J ] . Frontiers of Computer Science , 2022 , 16 ( 1 ): 161808 .

LIU Y , GUO W , FAN C I , et al . A practical privacy-preserving data aggregation (3PDA) scheme for smart grid [J ] . IEEE Transactions on Industrial Informatics , 2019 , 15 ( 3 ): 1767 - 1774 .

MERAD-BOUDIA O R , SENOUCI S M . An efficient and secure multidimensional data aggregation for fog-computing-based smart grid [J ] . IEEE Internet of Things Journal , 2021 , 8 ( 8 ): 6143 - 6153 .

ZHAO S , LI F , LI H , et al . Smart and practical privacy-preserving data aggregation for fog-based smart grids [J ] . IEEE Transactions on Information Forensics and Security , 2021 , 16 : 521 - 536 .

SALEEM A , KHAN A , MALIK S U R ， et al . FESDA: Fog-enabled secure data aggregation in smart grid IoT network [J ] . IEEE Internet of Things Journal , 2020 , 7 ( 7 ): 6132 - 6142 .

CHEN Y , MARTINEZ-ORTEGA J F , LOPEZ L , et al . A dynamic membership group-based multiple-data aggregation scheme for smart grid [J ] . IEEE Internet of Things Journal , 2021 , 8 ( 15 ): 12360 - 12374 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on searchable encryption scheme based on enhanced PIR

Survey on incentive-driven federated learning: privacy and security

Privacy-preserving data compression scheme for k-anonymity model based on Huffman coding

Multi-party summation query method based on differential privacy

Privacy protection scheme for internet of vehicles based on homomorphic encryption and block chain technology

Related Author

MA Limin

TANG Liang

ZHU Tianqing

MA Xiao

LIU Hengzhu

XIONG Ping

CHI Huanhuan

Nenghai YU

Related Institution

College of Computer Science，Beijing Information Science and Technology University

Beijing Academy of Educational Science

Faculty of Date Science, City University of Macau, Macau

School of Information Engineering, Zhongnan University of Economics and Law

Labs, Huawei Technology Co.Ltd

⁰