A Privacy-preserving Proximity Testing for Location-based Services

被引:0
|
作者
Qiu, Yue [1 ]
Ma, Maode [1 ]
机构
[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore, Singapore
关键词
Bloom Filter; Location Privacy; Private Proximity Testing; Security; SECURITY;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Location-based service (LBS) applications have become increasingly popular in the past few years. These applications request users' mobile devices to provide location data in terms of a mobile user's position, movement direction, and speed. The proximity testing, as a core application of Locationbased services in social networking, enables a user to know whether people are within a given geometric range. However, private location data may be leaked due to the lack of corresponding privacy protection mechanism, which could result in serious security issues. To protect users' confidential location data, a privacy-preserving proximity testing (PPPT) using location grids is designed to improve the efficiency while protecting users' location privacy. The proposed scheme can test whether a person is within a given search area without the disclosure of any private location information. The security analysis and the performance evaluation results show that the proposed PPPT scheme is not only privacy-preserving, but also more efficient.
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收藏
页数:6
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