文献类型：期刊文献

英文题名：A Location Privacy-Preserving System Based on Query Range Cover-Up or Location-Based Services

作者：Wu, Zongda[1];Wang, Ruiqin[2];Li, Qi[1];Lian, Xinze[3];Xu, Guandong[4];Chen, Enhong[5];Liu, Xiyang[6]

机构：[1]Shaoxing Univ, Dept Comp Sci & Engn, Shaoxing 312000, Peoples R China;[2]Huzhou Univ, Dept Comp Sci & Engn, Huzhou 313000, Peoples R China;[3]Wenzhou Univ, Oujiang Coll, Wenzhou 325000, Peoples R China;[4]Univ Technol, Fac Engn & IT, Sydney, NSW 2007, Australia;[5]Univ Sci & Technol China, Sch Comp Sci & Technol, Hefei 230052, Peoples R China;[6]Wenzhou Univ, Coll Comp Sci & Artificial Intelligence, Wenzhou 325000, Zhejiang, Peoples R China

年份：2020

卷号：69

期号：5

起止页码：5244

外文期刊名：IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

收录：SCI-EXPANDED(收录号：WOS:000558743700051)、、EI(收录号：20202108704573)、Scopus(收录号：2-s2.0-85085138954)、WOS

基金：This work was supported in part by the Zhejiang Provincial Natural Science Foundation of China under Grants LZ18F020001 and LY19F020018, in part by the National Natural Science Foundation of China under Grant 61762055, and in part by the National Social Science Foundation of China under Grant 19BTQ056.

语种：英文

外文关键词：Location-based service; location privacy; privacy protection; security; accuracy; usability

外文摘要：Location-based service (LBS) has been widely used in various fields of industry, and become a vital part of people's daily life. However, while providing great convenience for users, LBS results in a serious threat on users' location privacy, due to its more and more untrusted server-side. In this article, we propose a location privacy-preserving system for LBS by constructing "cover-up ranges" to protect the query ranges associated with a location query sequence. Firstly, we present a client-based system framework for location privacy protection in LBS, which requires no compromise to the accuracy and usability of LBS. Secondly, based on the framework, we introduce a location privacy model to formulate the constraints that ideal cover-up ranges should satisfy, so as to improve the efficiency of location services and the security of location privacy. Finally, we describe an implementation algorithm to well meet the location privacy model. Both theoretical analysis and experimental evaluation demonstrate the effectiveness of our system, which can improve the security of users' location privacy on the untrusted server-side, without compromising the accuracy and usability of LBS.