Digital Blind Box: Random Symmetric Private Information Retrieval
Zhusheng Wang, Sennur Ulukus

TL;DR
This paper introduces and analyzes the problem of random symmetric private information retrieval (RSPIR), focusing on the capacity for two databases and small message sets, with a novel approach inspired by physical blind boxes.
Contribution
The paper defines RSPIR, explores its information-theoretic capacity for two databases, and determines exact capacity for up to four messages, providing a new framework for privacy-preserving retrieval.
Findings
Exact capacity for RSPIR with 2 databases and 2-4 messages.
A general achievable scheme applicable to any number of messages.
Open problem for capacity when messages are five or more.
Abstract
We introduce the problem of random symmetric private information retrieval (RSPIR). In canonical PIR, a user downloads a message out of messages from non-colluding and replicated databases in such a way that no database can know which message the user has downloaded (user privacy). In SPIR, the privacy is symmetric, in that, not only that the databases cannot know which message the user has downloaded, the user itself cannot learn anything further than the particular message it has downloaded (database privacy). In RSPIR, different from SPIR, the user does not have an input to the databases, i.e., the user does not pick a specific message to download, instead is content with any one of the messages. In RSPIR, the databases need to send symbols to the user in such a way that the user is guaranteed to download a message correctly (random reliability), the databases do not know…
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Taxonomy
TopicsCryptography and Data Security · Privacy-Preserving Technologies in Data · Complexity and Algorithms in Graphs
