ArXiv TLDR

Private Information Retrieval With Arbitrary Privacy Requirements for Graph-Based Storage

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2605.10879

Mohamed Nomeir, Shreya Meel, Sennur Ulukus

cs.ITcs.CRcs.NIeess.SP

TLDR

This paper redefines Private Information Retrieval (PIR) privacy for graph-based storage, enabling flexible, arbitrary requirements.

Key contributions

  • Reformulates PIR privacy to accommodate flexible, arbitrary requirements in graph-replicated storage.
  • Introduces server-specific privacy requirement sets for message indices.
  • Analyzes path and cyclic graph storage with various privacy settings, including neighborhood-based privacy.
  • Derives capacity bounds or exact capacity for these generalized PIR settings.

Why it matters

This work generalizes PIR privacy, moving beyond 'all or nothing' requirements. It bridges the gap between local PIR and standard graph-replicated PIR, offering more practical and efficient solutions for data retrieval in distributed systems.

Original Abstract

We reformulate the definition of privacy in the private information retrieval (PIR) problem to accommodate flexible privacy requirements. We focus on graph-replicated PIR, with a generalized privacy requirement, instead of requiring all messages to be private from all servers, during retrieval. Towards this, we define a privacy requirement set for each server, which can be an arbitrary subset of all message indices, as long as the stored message indices are in their privacy requirement set. Since both the storage and privacy requirement sets have many possibilities, we focus on two specific storage settings, namely the path and cyclic graphs. We consider several privacy settings for each of them, which are not necessarily the same, to give different examples for privacy sets. Of particular interest are the privacy sets that comprise the indices of messages stored at servers within a neighborhood range. The neighborhood range parameter allows a transition from the recently introduced local PIR [1] to the standard graph-replicated PIR. In these cases, we derive bounds on the capacity or find the exact capacity.

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