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

📅 2026-09-14
📈 Citations: 0
Influential: 0
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🤖 AI Summary
本文研究了基于图存储系统中具有任意隐私要求的私密信息检索问题,通过提出上下界及特定情况下的容量结果来解决。
📝 Abstract
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. Under the arbitrary privacy requirement, each message has to be retrieved privately from a pre-specified subset of servers, where the subset always includes the servers storing it. Thus, each server is associated with a privacy set, which pre-specifies the message indices that should be privately retrieved from it. This setting is a generalization of the classical PIR setting, where the required message index needs to be kept private from all servers, i.e., there, the privacy set of each server comprises all message indices. Our setting is also a bridge between the newly formulated local PIR (LPIR) setting and the classical PIR setting, where in the former, the privacy set is exactly the set of stored message indices. In this paper, we derive general lower and upper bounds on the PIR capacity for general graphs, under certain privacy requirements, that capture the essence of both LPIR and classical PIR. Then, we focus on path and cyclic storage graphs under these and more fine-grained settings, for which we derive capacity results for certain cases, and establish lower and upper bounds for others. Their low degree allows for a more in-depth understanding of the new privacy formulation and admits more privacy requirement settings compared to other simple graphs. Finally, we introduce a new graph structure, the pyramid storage graph, to model server storage. Although this graph has never been investigated in the literature in any PIR context, it enjoys a nice symmetric structure for message storage and replication patterns.
Problem

Research questions and friction points this paper is trying to address.

Private Information Retrieval
Arbitrary Privacy Requirements
Graph-based Storage System
Privacy Set
Innovation

Methods, ideas, or system contributions that make the work stand out.

Private Information Retrieval (PIR)
Arbitrary Privacy Requirements
Graph-based Storage System
Pyramid Storage Graph
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