Achieving Efficient Query Privacy for Location Based Services View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2010

AUTHORS

Femi Olumofin , Piotr K. Tysowski , Ian Goldberg , Urs Hengartner

ABSTRACT

Mobile smartphone users frequently need to search for nearby points of interest from a location based service, but in a way that preserves the privacy of the users’ locations. We present a technique for private information retrieval that allows a user to retrieve information from a database server without revealing what is actually being retrieved from the server. We perform the retrieval operation in a computationally efficient manner to make it practical for resource-constrained hardware such as smartphones, which have limited processing power, memory, and wireless bandwidth. In particular, our algorithm makes use of a variable-sized cloaking region that increases the location privacy of the user at the cost of additional computation, but maintains the same traffic cost. Our proposal does not require the use of a trusted third-party component, and ensures that we find a good compromise between user privacy and computational efficiency. We evaluated our approach with a proof-of-concept implementation over a commercial-grade database of points of interest. We also measured the performance of our query technique on a smartphone and wireless network. More... »

PAGES

93-110

References to SciGraph publications

  • 2002-04-26. Symmetrically Private Information Retrieval in PROGRESS IN CRYPTOLOGY —INDOCRYPT 2000
  • 2009. A Hybrid Technique for Private Location-Based Queries with Database Protection in ADVANCES IN SPATIAL AND TEMPORAL DATABASES
  • 2007-07. Robust Information-Theoretic Private Information Retrieval in JOURNAL OF CRYPTOLOGY
  • 2009. Privacy in Georeferenced Context-Aware Services: A Survey in PRIVACY IN LOCATION-BASED APPLICATIONS
  • Book

    TITLE

    Privacy Enhancing Technologies

    ISBN

    978-3-642-14526-1
    978-3-642-14527-8

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-14527-8_6

    DOI

    http://dx.doi.org/10.1007/978-3-642-14527-8_6

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1023359934


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