Technology of Information Security
|
App. Res. of Comp. Printed Article
Vol. 43, 2026 No. 1
263-270

Privacy-preserving multi-dimensional and multi-subset data aggregation scheme for smart grids

Xiao Xidana,b
Deng Lunzhib,c
Li Zejiab,c
a. School of Big Data & Computer Science, b. Key Laboratory of Information Security Technology of Guizhou Higher Education Institutions, c. School of Mathematical Sciences, Guizhou Normal University, Guiyang 550025, China
DOI: 10.19734/j.issn.1001-3695.2025.05.0189

Abstract

To address the risk of privacy leakage during user data collection in smart grids, this study investigated a multidimensional and multi-subset data aggregation mechanism. Building on the observation that existing schemes generally lack support for multidimensional aggregation and incur high computational costs, this paper proposed a privacy-preserving multidimensional and multi-subset data aggregation scheme(PPMS-DA) that leveraged additive homomorphic ElGamal encryption. The scheme integrated signature verification and user grouping to perform secure aggregation without relying on any trusted third party. Security analysis under the random oracle model demonstrates that the scheme achieves ciphertext indistinguishability and signature unforgeability, effectively resisting collusion attacks between the control center and the gateway. Under experimental settings involving varying numbers of users and data dimensions, performance evaluation shows that, compared with the most efficient of five mainstream schemes, the proposed approach reduces computational overhead by 18.84% at the gateway side and 24.55% at the control center side, without employing expensive pairing operations. The results indicate that the scheme offers strong practicality and scalability for large-scale and resource-constrained smart grid environments.

Foundation Support

国家自然科学基金资助项目(62462014)
贵州省高层次创新人才项目(黔科合平台人才GCC［2022］018-1)
贵州省教育厅自然科学研究项目(黔教技［2023］010)
贵州省科技计划项目(黔科合基础-ZK［2024］重点058)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.05.0189
Publish at: Application Research of Computers Printed Article, Vol. 43, 2026 No. 1
Section: Technology of Information Security
Pages: 263-270
Serial Number: 1001-3695(2026)01-032-0263-08

Publish History

[2025-09-15] Accepted Paper
[2026-01-05] Printed Article

Cite This Article

肖稀丹, 邓伦治, 李泽家. 适用于智能电网保护隐私的多维多子集数据聚合方案 [J]. 计算机应用研究, 2026, 43 (1): 263-270. (Xiao Xidan, Deng Lunzhi, Li Zejia. Privacy-preserving multi-dimensional and multi-subset data aggregation scheme for smart grids [J]. Application Research of Computers, 2026, 43 (1): 263-270. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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