Technology of Information Security
|
2518-2524

Adaptive spatial decomposition based on localized differential privacy for dense regions

Ji Bo
Li Xiaohui
Jia Xu
School of Electronics & Information Engineering, Liaoning University of Technology, Jinzhou Liaoning 121000, China

Abstract

To address the issues of low query accuracy and efficiency in processing spatial data using conventional uniform grid methods and adaptive grid decomposition methods, this paper developed an adaptive spatial decomposition algorithm based on local differential privacy(LDP-ASDT). LDP-ASDT performed spatial decomposition hierarchically using a grouping strategy to separate dense and sparse regions. For dense regions, it further adaptively decomposed them by setting appropriate thresholds using a quadtree. It perturbed the decomposition results using one-dimensional coding to achieve privacy protection. Theoretical analysis demonstrates that this algorithm satisfies localized differential privacy. Experiments conducted on three real datasets show that the query accuracy and operational efficiency of this algorithm are superior to those of GT-R, PrivAG, KDRQ, and ASDQT algorithms. Specifically, compared to the ASDQT algorithm, LDP-ASDT algorithm doubles the query accuracy and increases the operational rate by 17% in dense regions.

Foundation Support

国家自然科学基金青年基金资助项目(61802161)
辽宁省应用基础研究计划资助项目(2022JH2/101300278,2022JH2/101300279)
2024年辽宁省属本科高校基本科研业务费专项资金资助项目(LJZZ212410154025,LJZZ222410154004)
辽宁工业大学研究生教育改革创新项目(YJG2023013)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.11.0505
Publish at: Application Research of Computers Printed Article, Vol. 42, 2025 No. 8
Section: Technology of Information Security
Pages: 2518-2524
Serial Number: 1001-3695(2025)08-036-2518-07

Publish History

[2025-03-20] Accepted Paper
[2025-08-05] Printed Article

Cite This Article

季博, 李晓会, 贾旭. 面向稠密区域的本地化差分隐私自适应空间分解 [J]. 计算机应用研究, 2025, 42 (8): 2518-2524. (Ji Bo, Li Xiaohui, Jia Xu. Adaptive spatial decomposition based on localized differential privacy for dense regions [J]. Application Research of Computers, 2025, 42 (8): 2518-2524. )

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.

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