Single-Server Private Information Retrieval with Side Information Under Arbitrary Popularity Profiles
Alejandro Gomez-Leos, Anoosheh Heidarzadeh

TL;DR
This paper generalizes the PIR with Side Information problem to account for arbitrary message popularity profiles, establishing bounds on capacity and proposing a novel scheme that improves download efficiency based on message popularity.
Contribution
It introduces the PA-PIR-SI problem, derives capacity bounds for arbitrary popularity profiles, and presents a probabilistic scheme that outperforms existing methods.
Findings
Upper bound on capacity matches PIR-SI case.
Proposed scheme achieves higher rate than existing PIR-SI schemes.
Capacity bounds hold for any message popularity profile.
Abstract
This paper introduces a generalization of the Private Information Retrieval with Side Information (PIR-SI) problem called Popularity-Aware PIR-SI (PA-PIR-SI). The PA-PIR-SI problem includes one or more remote servers storing copies of a dataset of messages, and a user who knows out of messages -- the identities of which are unknown to the server -- as a prior side information, and wishes to retrieve one of the remaining messages. The goal of the user is to minimize the amount of information they must download from the server while revealing no information about the identity of the desired message. In contrast to PIR-SI, in PA-PIR-SI, the dataset messages are not assumed to be equally popular. That is, given the side information messages, each of the remaining messages is not necessarily equally likely to be the message desired by the user. In this work, we…
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Taxonomy
TopicsCryptography and Data Security · Privacy-Preserving Technologies in Data · Blockchain Technology Applications and Security
