The Capacity of Private Information Retrieval with Eavesdroppers
Qiwen Wang, Hua Sun, Mikael Skoglund

TL;DR
This paper derives the maximum efficiency of private information retrieval in the presence of eavesdroppers and colluding servers, revealing how capacity depends on system parameters and shared randomness.
Contribution
It provides a closed-form capacity expression for ETPIR, unifies previous PIR and SPIR results, and highlights the role of shared randomness and system parameters.
Findings
Capacity when E < T is inverse of a geometric series sum.
Capacity when E ≥ T is independent of K and T.
Shared randomness is essential for achieving capacity.
Abstract
We consider the problem of private information retrieval (PIR) with colluding servers and eavesdroppers (abbreviated as ETPIR). The ETPIR problem is comprised of messages, servers where each server stores all messages, a user who wants to retrieve one of the messages without revealing the desired message index to any set of colluding servers, and an eavesdropper who can listen to the queries and answers of any servers but is prevented from learning any information about the messages. The information theoretic capacity of ETPIR is defined to be the maximum number of desired message symbols retrieved privately per information symbol downloaded. We show that the capacity of ETPIR is when , and when $E…
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Taxonomy
TopicsCryptography and Data Security · Privacy-Preserving Technologies in Data · Internet Traffic Analysis and Secure E-voting
