On the Optimal Message Size in PIR Under Arbitrary Collusion Patterns
Guru S. Dornadula, Manikya Pant, Gowtham R. Kurri, Prasad Krishnan

TL;DR
This paper characterizes the minimum message size needed for capacity-achieving private information retrieval schemes under arbitrary server collusion patterns, extending previous results to more general settings and providing matching schemes for certain patterns.
Contribution
It provides a complete characterization of capacity-achieving PIR schemes under arbitrary collusion patterns and derives a general lower bound on message size based on hitting numbers.
Findings
Derived a lower bound on message size for arbitrary collusion patterns.
Established matching schemes for cyclically contiguous collusion patterns.
Extended the understanding of PIR capacity to general collusion scenarios.
Abstract
A private information retrieval protocol (PIR) scheme under an arbitrary collusion pattern enables a client to retrieve one message from a library of equal-sized messages duplicated in servers, while keeping the index of the desired message private from any colluding set in . Although achieving high rates typically requires sufficiently large message sizes, smaller message sizes also desirable due to reduced implementation complexity and fewer constraints. By characterizing the capacity-achieving schemes, Tian, Sun, and Chen (2019) showed that the optimal message size for uniformly decomposable PIR schemes under no-collusion setting is . However, comparable results are not yet available for more general collusion settings. In this work, we present a complete characterization of the properties of capacity-achieving decomposable PIR schemes under…
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Taxonomy
TopicsCryptography and Data Security · Complexity and Algorithms in Graphs · RFID technology advancements
