Technology of Information Security
|
App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 3
930-934

Personalized location privacy protection algorithm in crowd sensing networks

Hu Min
Zhang Yan
Huang Hongcheng
School of Communication & Information Engineering, Chongqing University of Posts & Telecommunications, Chongqing 400065, China
DOI: 10.19734/j.issn.1001-3695.2017.10.0941

Abstract

The existing privacy protection strategies in crowd sensing networks used the same privacy policies for all locations which overprotected led to the problems that some locations, others were not adequately protected and the sensing data was less accurate. In order to solve this problem, this paper proposed a location privacy protection algorithm to meet the users' personalized privacy and security requirements. First, it mined users' access duration, frequency and regularity at different locations according to the user’s historical movement trajectory, which used to predict the social attributes of the locations to the users. Then, it combined the location's social attributes and natural attributes to predict user-location sensitivity levels. Finally, considering the different privacy security requirements of users in different locations, it set a dynamic privacy decision scheme. It selected users with less sensitivity at each location to participate in sensing tasks to ensure that users, in the safe privacy context, could contribute the accurate data with a higher level of spatiotemporal correlation. The simulation results show that the algorithm can improve the privacy protection level and the accuracy of the sensing data.

Foundation Support

重庆市科委基础与前沿研究项目(cstc2014jcyjA40039)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.10.0941
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 3
Section: Technology of Information Security
Pages: 930-934
Serial Number: 1001-3695(2019)03-058-0930-05

Publish History

[2019-03-05] Printed Article

Cite This Article

胡敏, 张艳, 黄宏程. 群智感知网络个性化位置隐私保护算法 [J]. 计算机应用研究, 2019, 36 (3): 930-934. (Hu Min, Zhang Yan, Huang Hongcheng. Personalized location privacy protection algorithm in crowd sensing networks [J]. Application Research of Computers, 2019, 36 (3): 930-934. )

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  • Application Research of Computers Monthly Journal
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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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