Enabling private continuous queries for revealed user locations

Chi Yin Chow, Mohamed F Mokbel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

150 Scopus citations

Abstract

Existing location-based services provide specialized services to their customers based on the knowledge of their exact locations. With untrustworthy servers, location-based services may lead to several privacy threats ranging from worries over employers snooping on their workers' whereabouts to fears of tracking by potential stalkers. While there exist several techniques to preserve location privacy in mobile environments, these techniques are limited as they do not distinguish between location privacy (i.e., a user wants to hide her location) and query privacy (i.e., a user can reveal her location but not her query). This distinction is crucial in many applications where the locations of mobile users are publicly known. In this paper, we go beyond the limitation of existing cloaking algorithms as we propose a new robust spatial cloaking technique for snapshot and continuous location-based queries that clearly distinguishes between location privacy and query privacy. By this distinction, we achieve two main goals: (1) supporting private location-based services to those customers with public locations, and (2) performing spatial cloaking on-demand basis only (i.e., when issuing queries) rather than exhaustively cloaking every single location update. Experimental results show that the robust spatial cloaking algorithm is scalable and efficient while providing anonymity for large numbers of continuous queries without hiding users' locations.

Original languageEnglish (US)
Title of host publicationAdvances in Spatial and Temporal Databases - 10th International Symposium, SSTD 2007, Proceedings
PublisherSpringer Verlag
Pages258-275
Number of pages18
ISBN (Print)9783540735397
DOIs
StatePublished - 2007
Event10th International Symposium on Advances in Spatial and Temporal Databases, SSTD 2007 - Boston, MA, United States
Duration: Jul 16 2007Jul 18 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4605 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other10th International Symposium on Advances in Spatial and Temporal Databases, SSTD 2007
CountryUnited States
CityBoston, MA
Period7/16/077/18/07

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