Distortion-based anonymity for continuous queries in location-based mobile services

Xiao Pan*, Xiaofeng Meng, Jianliang XU

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

64 Citations (Scopus)

Abstract

Privacy preservation has recently received considerable attention for location-based mobile services. Various location cloaking approaches have been proposed to protect the location privacy of mobile users. However, existing cloaking approaches are ill-suited for continuous queries. In view of the privacy disclosure and poor QoS (Quality of Service) under continuous query anonymization, in this paper, we propose a Δ p-privacy model and a Δ q-distortion model to balance the tradeoff between user privacy and QoS. Furthermore, two incremental utility-based cloaking algorithms - - bottom-up cloaking and hybrid cloaking, are proposed to anonymize continuous queries. Experimental results validate the efficiency and effectiveness of the proposed algorithms.

Original languageEnglish
Title of host publication17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2009
Pages256-265
Number of pages10
DOIs
Publication statusPublished - 2009
Event17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2009 - Seattle, WA, United States
Duration: 4 Nov 20096 Nov 2009

Publication series

NameGIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

Conference

Conference17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2009
Country/TerritoryUnited States
CitySeattle, WA
Period4/11/096/11/09

Scopus Subject Areas

  • Earth-Surface Processes
  • Computer Science Applications
  • Modelling and Simulation
  • Computer Graphics and Computer-Aided Design
  • Information Systems

User-Defined Keywords

  • Continuous queries
  • Information privacy
  • Location-based services
  • Privacy protection

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