Key Superposition Simultaneously Achieves Security and Privacy in Cache-Aided Linear Function Retrieval
Qifa Yan, Daniela Tuninetti

TL;DR
This paper introduces a superposition-based scheme for cache-aided linear function retrieval that simultaneously ensures content security and demand privacy, achieving near-optimal load-memory tradeoffs with low subpacketization.
Contribution
It proposes a novel superposition method combining security and privacy keys in PDA-based schemes, achieving optimal or near-optimal tradeoffs with low subpacketization.
Findings
Memory-load pairs are Pareto-optimal for Maddah-Ali and Niesen's PDA.
Achieved load-memory tradeoff is within a constant factor of optimal.
Scheme maintains security and privacy without increasing load compared to single-constraint schemes.
Abstract
This work investigates the problem of cache-aided content Secure and demand Private Linear Function Retrieval (SP-LFR), where three constraints are imposed on the system:(a) each user is interested in retrieving an arbitrary linear combination of the files in the server's library;(b) the content of the library must be kept secure from a wiretapper who obtains the signal sent by the server; and (c) no colluding subset of users together obtain information about the demands of the remaining users. A procedure is proposed to derive an SP-LFR scheme from a given Placement Delivery Array (PDA), which is known to give coded caching schemes with low subpacketization for systems with neither security nor privacy constraints. This procedure uses the superposition of security keys and privacy keys in both the cache placement and transmitted signal to guarantee content security and demand privacy,…
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Taxonomy
TopicsCaching and Content Delivery · Advanced Data Storage Technologies · Nanomaterials for catalytic reactions
