Optimized query forgery for private information retrieval

  • Authors:
  • David Rebollo-Monedero;Jordi Forné

  • Affiliations:
  • Department of Telematics Engineering, Technical University of Catalonia, Barcelona, Spain;Department of Telematics Engineering, Technical University of Catalonia, Barcelona, Spain

  • Venue:
  • IEEE Transactions on Information Theory
  • Year:
  • 2010

Quantified Score

Hi-index 754.84

Visualization

Abstract

We present a mathematical formulation for the optimization of query forgery for private information retrieval, in the sense that the privacy risk is minimized for a given traffic and processing overhead. The privacy risk is measured as an Information-theoretic divergence between the user's query distribution and the population's, which includes the entropy of the user's distribution as a special case. We carefully Justify and interpret our privacy criterion from diverse perspectives. Our formulation poses a mathematically tractable problem that bears substantial resemblance with rate-distortion theory.