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A Location Privacy-Preserving System Based on Query Range Cover-Up or Location-Based Services

Zongda Wu, Ruiqin Wang, Qi Li, Xinze Lian, Guandong Xu, Enhong Chen, Xiyang Liu

2020IEEE Transactions on Vehicular Technology103 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Computer scienceLocation-based serviceCover (algebra)UsabilityComputer securityService (business)Information privacyPrivacy softwareComputer networkHuman–computer interactionEngineeringBusinessMarketingMechanical engineeringPrivacy-Preserving Technologies in DataPrivacy, Security, and Data ProtectionMobile Crowdsensing and Crowdsourcing
A Location Privacy-Preserving System Based on Query Range Cover-Up or Location-Based Services | Litcius