Decentralized enforcement of k-anonymity for location privacy using secret sharing

David Förster, Hans Löhr, Frank Kargl

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

3 Citations (Scopus)

Abstract

Protection of location privacy by reducing the accuracy of location data, until a desired level of privacy (e.g., measured as k-anonymity) is reached, is a well-known concept that is typically implemented using a privacy proxy. To eliminate the risks associated with a central, trusted party, we propose a generic method to enforce k-anonymity of location data in a decentralized way, using a distributed secret sharing algorithm and the concept of location and time specific keys. We describe our method in the context of a system for privacy-friendly traffic flow analysis, in which participants report origin, destination, start and end time of their trips. In order to protect their privacy the accuracy of time and location information is reduced, until it applies to at least k distinct trips. No trusted, central party is required to determine how much the accuracy of each trip report must be reduced. The participants establish location and time specific keys via vehicle-to-vehicle (V2V) communication at the beginning and end of their trips. They use these keys to encrypt trip reports with several levels of accuracy, and uploaded them to a central, untrusted database. The keys are published using a secret sharing algorithm that allows their reconstruction, once at least k shares of the same key have been uploaded. Consequently, trip reports become available automatically, after k vehicles have made the same trip (same origin, destination, start and end time) with respect to a certain accuracy level.

Original languageEnglish
Title of host publication2015 IEEE Vehicular Networking Conference, VNC 2015
EditorsOnur Altintas, Frank Kargl, Eylem Ekici, Christoph Sommer, Michele Segata
Place of PublicationPiscataway, NJ
PublisherIEEE Computer Society
Pages279-286
Number of pages8
ISBN (Electronic)978-1-4673-9411-6, 978-1-4673-9410-9
DOIs
Publication statusPublished - 18 Jan 2016
EventIEEE Vehicular Networking Conference, VNC 2015 - Kyoto, Japan
Duration: 16 Dec 201518 Dec 2015

Publication series

NameIEEE Vehicular Networking Conference, VNC
PublisherIEEE
Volume2016
ISSN (Print)2157-9857
ISSN (Electronic)2157-9865

Conference

ConferenceIEEE Vehicular Networking Conference, VNC 2015
Abbreviated titleVNC 2015
CountryJapan
CityKyoto
Period16/12/1518/12/15

Keywords

  • Conferences
  • Cryptography
  • Data privacy
  • Databases
  • Privacy
  • Servers
  • Vehicles

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  • Cite this

    Förster, D., Löhr, H., & Kargl, F. (2016). Decentralized enforcement of k-anonymity for location privacy using secret sharing. In O. Altintas, F. Kargl, E. Ekici, C. Sommer, & M. Segata (Eds.), 2015 IEEE Vehicular Networking Conference, VNC 2015 (pp. 279-286). [7385589] (IEEE Vehicular Networking Conference, VNC; Vol. 2016). Piscataway, NJ: IEEE Computer Society. https://doi.org/10.1109/VNC.2015.7385589