Private information retrieval with preprocessing based on the approximate GCD problem

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Abstract

PIR protocols allow clients to privately recover data on a server. While many protocols exist, none of them are practical due to their high computation requirement. We explain how preprocessing is a necessity to solve this issue, then we present two independent but related results. First, we show how Goldberg’s robust multi-server PIR protocol is compatible with preprocessing techniques. We detail the theoretical computation/memory tradeoff and present practical implementation results. Then, we introduce a new single-server PIR protocol that is reminiscent of Goldberg’s protocol in its structure but relies on the unrelated Approximate GCD assumption. We describe its performance and security, along with implementation results.

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APA

Vannet, T., & Kunihiro, N. (2016). Private information retrieval with preprocessing based on the approximate GCD problem. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9566, pp. 227–240). Springer Verlag. https://doi.org/10.1007/978-3-319-31301-6_14

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