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Technology of Information Security
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 8
2467-2472,2500

Study on AWG-LDP local differential privacy protection algorithm for graph data

Sun Tao
Li Xiaohui
Li Han
Zhao Xue
School of Electronics & Information Engineering, Liaoning University of Technology, Jinzhou Liaoning 121000, China
DOI: 10.19734/j.issn.1001-3695.2022.12.0802

Abstract

Aiming at the problem that traditional graph data privacy protection methods only focus on protecting one of the attributes or structures, which can easily lead to the leakage of node or edge privacy information, this paper proposed a local diffe-rential privacy protection algorithm for attribute-weighted graphs(AWG-LDP). Firstly, the algorithm used the GN algorithm to divide the graph data into community subgraphs. Secondly, it calculated the local sensitivity of each community respectively. For each subgraph after division, it realized local differential privacy by combining structural similarity and attribute similarity and adding Laplace noise for edge perturbation. Finally, it generalized the nodes to be published by means of attribute generalization to prevent node sensitive information from being attacked. Using the real graph data set, the paper configured different parameters and compared algorithms with others. The experimental results show that the algorithm improves the privacy protection effect. Meanwhile, it reduces the information loss and improves the availability of data.

Foundation Support

国家自然科学基金青年科学基金资助项目(61802161)
辽宁省应用基础研究计划资助项目(2022JH2/101300278,2022JH2/101300279)
辽宁省揭榜挂帅科技计划重大项目(2022JH1/10400009)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.12.0802
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 8
Section: Technology of Information Security
Pages: 2467-2472,2500
Serial Number: 1001-3695(2023)08-036-2467-06

Publish History

[2023-03-03] Accepted Paper
[2023-08-05] Printed Article

Cite This Article

孙涛, 李晓会, 李晗, 等. 一种面向图数据的AWG-LDP局部差分隐私保护算法研究 [J]. 计算机应用研究, 2023, 40 (8): 2467-2472,2500. (Sun Tao, Li Xiaohui, Li Han, et al. Study on AWG-LDP local differential privacy protection algorithm for graph data [J]. Application Research of Computers, 2023, 40 (8): 2467-2472,2500. )

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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