Querying privacy protection in the context of location-based services

被引：0

作者：

Cai, Zhaohui ^{[1
,2
]}

Zhang, Jianpei ^{[1
]}

Yang, Jing ^{[1
]}

机构：

[1] College of Computer Science and Technology, Harbin Engineering University, Harbin

[2] College of Computer Science and Information Technology, Daqing Normal University, Daqing

来源：

Journal of Computational Information Systems | 2014年 / 10卷 / 15期

基金：

中国国家自然科学基金;

关键词：

Anonymity; Location Privacy; Location-based Service; Query Processing;

D O I：

10.12733/jcis11131

中图分类号：

学科分类号：

摘要：

Due to the advancement of mobile positioning technology and wireless communication, the application of location-based services has become popular for mobile client. Since users have to send their exact locations to obtain the location-based service, it may lead to several privacy disclosures. To solve this problem, in this paper, a semi-trusted anonymization privacy protection system model was proposed, and two algorithms were designed to achieve them. We mixed the user-generated false position and the user's own position to puzzle the evil attacker in mobile client, and let location cloaking server to send k positions which randomly generated in anonymized rectangular region instead of the anonymized rectangular region. Theoretical analysis and experimental results demonstrate the effectiveness and effciency of our algorithm. © 2014 Binary Information Press

引用

页码：6587 / 6595

页数：8

共 11 条

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