Privacy-by-Decoy: Protecting location privacy against collusion and deanonymization in vehicular location based services

  • George Corser
  • , Huirong Fu
  • , Tao Shu
  • , Patrick D'Errico
  • , Warren Ma
  • , Supeng Leng
  • , Ye Zhu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

22 Scopus citations

Abstract

Wireless networks which would connect vehicles via the Internet to a location based service, LBS, also would expose vehicles to online surveillance. In circumstances when spatial cloaking is not effective, such as when continuous precise location is required, LBSs may be designed so that users relay dummy queries through other vehicles to camouflage true locations. This paper introduces PARROTS, Position Altered Requests Relayed Over Time and Space, a privacy protocol which protects LBS users' location information from LBS administrators even (1) when the LBS requires continuous precise location data in a vehicular ad hoc network, (2) when LBS administrators collude with administrators of vehicular wireless access points (a.k.a. roadside units, or RSUs), and (3) when precise location data might be deanonymized using map databases linking vehicle positions with vehicle owners' home/work addresses and geographic coordinates. Defense against deanonymization requires concealment of endpoints, the effectiveness of which depends on the density of LBS users and the endpoint protection zone size. Simulations using realistic vehicle traffic mobility models varying endpoint protection zone sizes measure improvements in privacy protection. © 2014 IEEE.
Original languageEnglish
Title of host publicationIEEE Intelligent Vehicles Symposium, Proceedings
Place of Publicationusa
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1030-1036
Number of pages7
ISBN (Print)9781479936380
DOIs
StatePublished - Jan 1 2014
Event25th IEEE Intelligent Vehicles Symposium, IV 2014 - Dearborn, MI, United States
Duration: Jun 8 2014Jun 11 2014

Conference

Conference25th IEEE Intelligent Vehicles Symposium, IV 2014
Country/TerritoryUnited States
CityDearborn, MI
Period06/8/1406/11/14

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