Skip to content
NewA calmer, faster ZeroHour

Private Information Retrieval With Arbitrary Privacy Requirements: Introduction and Capacity Results

arXiv cs.CRby Mohamed Nomeir ()1 min read3 · 2 reads
AI summary · glm-5.3Summaries by Vani AI

Researchers formulate private information retrieval under arbitrary graph-based privacy requirements, deriving capacity bounds and introducing pyramid storage graphs.

The paper generalizes classical private information retrieval (PIR) to arbitrary privacy requirements over graph-based storage systems, where each message is retrieved privately from a pre-specified server subset. The authors derive lower and upper capacity bounds for general graphs and exact capacity results for path and cyclic storage graphs. They also introduce a new pyramid storage graph structure that models symmetric message storage and replication patterns.

Key facts
  • Generalizes classical and local PIR via per-server privacy sets
  • Capacity bounds derived for general, path, and cyclic storage graphs
  • New pyramid storage graph models symmetric message replication
Analyze this story with Vani AIImpact, who is affected and what defenders should do, in a new chat

From the original article

1 min read at arxiv.org

In this paper, we introduce the problem of private information retrieval (PIR) under arbitrary privacy requirements, in a graph-based storage system. This formulation is motivated by the server storage limitations, abundance of data (messages) and heterogeneous data privacy requirements.

arXiv cs.CR

By Mohamed Nomeir · arxiv.org

Read the full article at arXiv cs.CR

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.