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Technology of Information Security
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 8
2460-2463

Research on incremental nearest neighbor query privacy protection based on location semantics

Zhang Runlian1,2
Zhao Xinhong2
Wu Xiaonian1
1. Guangxi Key Laboratory of Cryptography & Information Security, Guilin University of Electronic Technology, Guilin Guangxi 541004, China
2. Guangxi Colleges Key Laboratory of Cloud Computing & Complex Systems, Guilin Guangxi 541004, China
DOI: 10.19734/j.issn.1001-3695.2019.03.0072

Abstract

Aiming at the problem of location privacy leakage caused by the anonymous area constructed in the LBS query service or the selected anchor point still located in the sensitive area, this paper proposed an incremental nearest neighbor query privacy protection method based on location semantics. In the client/server architecture, firstly, the method calculated the semantic security anonymous area according to the user's location privacy requirement, which protected the user's location privacy. Then, it filtered the semantic security anchor from the road intersection in the semantic security anonymous area as to ensure the semantic security was maximized, and the position of the anchor was real; then the client requested the service according to the anchor's location and got the query results. The experimental results show that the method can better protect the privacy of user's location, and the query accuracy is about 90% and the query time is about 60 ms.

Foundation Support

国家自然科学基金资助项目(61862011)
广西自然科学基金资助项目(2018GXNSFAA294036,2018GXNSFAA138116)
广西密码学与信息安全重点实验室项目(GCIS201705,GCIS201623)
广西高校云计算与复杂系统重点实验室项目(YF16205)
广西研究生教育创新计划资助项目(YCSW2018138,2017YJCX26)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.03.0072
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 8
Section: Technology of Information Security
Pages: 2460-2463
Serial Number: 1001-3695(2020)08-046-2460-04

Publish History

[2020-08-05] Printed Article

Cite This Article

张润莲, 赵新红, 武小年. 基于位置语义的增量近邻隐私保护研究 [J]. 计算机应用研究, 2020, 37 (8): 2460-2463. (Zhang Runlian, Zhao Xinhong, Wu Xiaonian. Research on incremental nearest neighbor query privacy protection based on location semantics [J]. Application Research of Computers, 2020, 37 (8): 2460-2463. )

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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