App. Res. of Comp. Accepted Paper
Vol. 40, 2023 No. 10

Differential privacy publishing of high-dimensional data based on attribute classification

Liu Peiqiana
Duan Longkunb
Shen Zihaob
Wang Huia
a. College of Software, b. College of Computer Science & Technology, Henan Polytechnic University, Jiaozuo Henan 454000, China
DOI: 10.19734/j.issn.1001-3695.2023.01.0069

Abstract

Aiming at the problem that existing differential privacy high-dimensional data publishing methods cannot take into account reasonable privacy allocation among attributes and algorithm efficiency, this paper proposed a differential privacy high-dimensional data publishing method PrivASG based on attribute sensitivity classification. First, the concept of sensitivity is introduced to cluster the attributes based on the different amount of information contained in the attributes, while the data set is further divided according to the maximum mutual information coefficient between the attributes. Then, a Bayesian network satisfying differential privacy is built for each of the clustered data subsets. Finally, the privacy budget allocation is optimized according to the sensitivity of the attributes, and the data is released after implementing differential perturbation on the attribute data. The experimental results show that the PrivASG method has a corresponding improvement in the protection of sensitive attribute data while improving data availability and algorithm efficiency.

Foundation Support

河南省高等学校重点科研项目23A520033,河南理工大学博士基金项目B2020-32,B2022-16

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.01.0069
Publish at: Application Research of Computers Accepted Paper, Vol. 40, 2023 No. 10

Publish History

[2023-05-06] Accepted Paper

Cite This Article

刘沛骞, 段隆锟, 申自浩, 等. 基于属性分级的高维数据差分隐私发布 [J]. 计算机应用研究, 2023, 40 (10). (). https://doi.org/10.19734/j.issn.1001-3695.2023.01.0069. (Liu Peiqian, Duan Longkun, Shen Zihao, et al. Differential privacy publishing of high-dimensional data based on attribute classification [J]. Application Research of Computers, 2023, 40 (10). (). https://doi.org/10.19734/j.issn.1001-3695.2023.01.0069. )

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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