Constructing dummy query sequences to protect location privacy and query privacy in location-based services

Zongda WU, Guiling LI, Shigen SHEN, Xinze LIAN, Enhong CHEN, Guandong XU

Research output: Contribution to journalArticlespeer-review

165 Citations (Scopus)

Abstract

Location-based services (LBS) have become an important part of people’s daily life. However, while providing great convenience for mobile users, LBS result in a serious problem on personal privacy, i.e., location privacy and query privacy. However, existing privacy methods for LBS generally take into consideration only location privacy or query privacy, without considering the problem of protecting both of them simultaneously. In this paper, we propose to construct a group of dummy query sequences, to cover up the query locations and query attributes of mobile users and thus protect users’ privacy in LBS. First, we present a client-based framework for user privacy protection in LBS, which requires not only no change to the existing LBS algorithm on the server-side, but also no compromise to the accuracy of a LBS query. Second, based on the framework, we introduce a privacy model to formulate the constraints that ideal dummy query sequences should satisfy: (1) the similarity of feature distribution, which measures the effectiveness of the dummy query sequences to hide a true user query sequence; and (2) the exposure degree of user privacy, which measures the effectiveness of the dummy query sequences to cover up the location privacy and query privacy of a mobile user. Finally, we present an implementation algorithm to well meet the privacy model. Besides, both theoretical analysis and experimental evaluation demonstrate the effectiveness of our proposed approach, which show that the location privacy and attribute privacy behind LBS queries can be effectively protected by the dummy queries generated by our approach. Copyright © 2020 Springer Science+Business Media, LLC, part of Springer Nature.

Original languageEnglish
Pages (from-to)25-49
JournalWorld Wide Web
Volume24
Early online dateJul 2020
DOIs
Publication statusPublished - Jan 2021

Citation

Wu, Z., Li, G., Shen, S., Lian, X., Chen, E., & Xu, G. (2021). Constructing dummy query sequences to protect location privacy and query privacy in location-based services. World Wide Web, 24, 25-49. https://doi.org/10.1007/s11280-020-00830-x

Keywords

  • Location-based service
  • Location privacy
  • Query privacy
  • Privacy protection

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