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Title:
(If) Size Matters: Size-Hiding Private Set Intersection
Authors: Giuseppe Ateniese, Emiliano De Cristofaro, Gene Tsudik
Abstract:Modern society is increasingly dependent on, and fearful of, the availability of electronic information. There are numerous examples of situations where sensitive data must be – sometimes reluctantly – shared between two or more entities without mutual trust. As often happens, the research community has foreseen the need for mechanisms to enable limited (privacy-preserving) sharing of sensitive information and a number of effective solutions have been proposed. Among them, Private Set Intersection (PSI) techniques are particularly appealing for scenarios where two parties wish to compute an intersection of their respective sets of items without revealing to each other {\em any other information}. Thus far, “any other information” has been interpreted to mean any information about items not in the intersection. In this paper, we motivate the need for Private Set Intersection with a stronger privacy property of {\em hiding the size} of the set held by one of the two entities (“client”). We introduce the notion of Size-Hiding Private Set Intersection (SHI-PSI) and propose an efficient construction secure under the RSA assumption in the Random Oracle Model. We also show that input size-hiding is attainable at very low additional cost.
ePrint: https://eprint.iacr.org/2010/220
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