Protecting location privacy against inference attacks

Kazuhiro Minami, Nikita Borisov

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

Abstract

GPS-enabled mobile devices are a quickly growing market and users are starting to share their location information with each other through services such as Google Latitude. Location information, however, is very privacy-sensitive, since it can be used to infer activities, preferences, relationships, and other personal information, and thus access to it must be carefully protected. We provide a formal definition of location privacy that incorporates an adversary's ability to predict location and discuss possible implementation of access control mechanisms that satisfy this definition. To support our reasoning, we analyze a preliminary data set to evaluate the accuracy of location prediction.

Original languageEnglish (US)
Title of host publicationCCS'10 - Proceedings of the 17th ACM Conference on Computer and Communications Security
Pages711-713
Number of pages3
DOIs
StatePublished - 2010
Event17th ACM Conference on Computer and Communications Security, CCS'10 - Chicago, IL, United States
Duration: Oct 4 2010Oct 8 2010

Publication series

NameProceedings of the ACM Conference on Computer and Communications Security
ISSN (Print)1543-7221

Other

Other17th ACM Conference on Computer and Communications Security, CCS'10
Country/TerritoryUnited States
CityChicago, IL
Period10/4/1010/8/10

Keywords

  • Access control
  • Location privacy
  • The Markov Model

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications

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