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.
CitationRebollo-Monedero, D.; Forné, J. Optimized query forgery for private information retrieval. "IEEE transactions on information theory", Setembre 2010, vol. 56, núm. 9, p. 4631-4642.
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder. If you wish to make any use of the work not provided for in the law, please contact: email@example.com