Article ID Journal Published Year Pages File Type
429845 Journal of Computer and System Sciences 2012 16 Pages PDF
Abstract

Distributed oblivious transfer (DOT) was introduced by Naor and Pinkas (2000) [31], and then generalized to (k,ℓ)(k,ℓ)-DOT-(n1) by Blundo et al. (2007) [8] and Nikov et al. (2002) [34]. In the generalized setting, a (k,ℓ)(k,ℓ)-DOT-(n1) allows a sender to communicate one of n secrets to a receiver with the help of ℓ servers. Specifically, the transfer task of the sender is distributed among ℓ servers and the receiver interacts with k out of the ℓ   servers in order to retrieve the secret he is interested in. The DOT protocols we consider in this work are information-theoretically secure. The known (k,ℓ)(k,ℓ)-DOT-(n1) protocols require linear (in n  ) communication complexity between the receiver and servers. In this paper, we construct (k,ℓ)(k,ℓ)-DOT-(n1) protocols which only require sublinear (in n) communication complexity between the receiver and servers. Our constructions are based on information-theoretic private information retrieval  . In particular, we obtain both a specific reduction from (k,ℓ)(k,ℓ)-DOT-(n1) to polynomial interpolation-based information-theoretic private information retrieval and a general reduction from (k,ℓ)(k,ℓ)-DOT-(n1) to any information-theoretic private information retrieval. The specific reduction yields (t,τ)(t,τ)-private (k,ℓ)(k,ℓ)-DOT-(n1) protocols of communication complexity O(n1/⌊(k−τ−1)/t⌋)O(n1/⌊(k−τ−1)/t⌋) between a semi-honest receiver and servers for any integers t and τ   such that 1⩽t⩽k−11⩽t⩽k−1 and 0⩽τ⩽k−1−t0⩽τ⩽k−1−t. The general reduction yields (t,τ)(t,τ)-private (k,ℓ)(k,ℓ)-DOT-(n1) protocols which are as communication-efficient as the underlying private information retrieval protocols for any integers t and τ   such that 1⩽t⩽k−21⩽t⩽k−2 and 0⩽τ⩽k−1−t0⩽τ⩽k−1−t.

► We propose a specific reduction from DOT to polynomial interpolation-based PIR. ► We propose a general reduction from DOT to any PIR. ► The DOTs we obtained are of sublinear communication complexity. ► The specific reduction captures all DOTs in the previous work. ► The general reduction relates DOTs to LDCs.

Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics
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