Dual-Source SPIR over a noiseless MAC without Data Replication or Shared Randomness
Remi A. Chou
TL;DR
This work shows that symmetric private information retrieval can be achieved over a noiseless binary adder MAC with two non-colluding servers holding independent data, aided by a public noiseless channel and without data replication or pre-shared randomness. It fully characterizes the dual-source SPIR capacity region as (L1−1)R1+(L2−1)R2 ≤ 1/2 and provides constructive achievability for all L1,L2, including reductions to the base L1=L2=2 case and a general (L1−1)(L2−1) round scheme. A matching information-theoretic converse reduces to maximizing H(X1X2|Y) under Y=X1+X2, with the maximum equal to 1/2, establishing tightness. The results introduce a new path to SPIR that avoids data replication, shared randomness, and channel noise, expanding the design space for information-theoretic private retrieval.
Abstract
Information-theoretically secure Symmetric Private Information Retrieval (SPIR) is known to be infeasible over noiseless channels with a single server. Known solutions to overcome this infeasibility involve additional resources such as database replication, shared randomness, or noisy channels. In this paper, we propose an alternative approach for achieving SPIR with information-theoretic security guarantees, without relying on shared randomness, noisy channels, or data replication. Specifically, we demonstrate that it is sufficient to use a noiseless binary adder multiple-access channel, where inputs are controlled by two non-colluding servers and the output is observed by the client, alongside a public noiseless communication channel between the client and the servers. Furthermore, in this setting, we characterize the optimal file rates, i.e., the file lengths normalized by the number of channel uses, that can be transferred.
