Privacy-preserving queries over relational databases

  • Authors:
  • Femi Olumofin;Ian Goldberg

  • Affiliations:
  • Cheriton School of Computer Science, University of Waterloo, Waterloo, ON, Canada;Cheriton School of Computer Science, University of Waterloo, Waterloo, ON, Canada

  • Venue:
  • PETS'10 Proceedings of the 10th international conference on Privacy enhancing technologies
  • Year:
  • 2010

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Abstract

We explore how Private Information Retrieval (PIR) can help users keep their sensitive information from being leaked in an SQL query. We show how to retrieve data from a relational database with PIR by hiding sensitive constants contained in the predicates of a query. Experimental results and microbenchmarking tests show our approach incurs reasonable storage overhead for the added privacy benefit and performs between 7 and 480 times faster than previous work.