
TL;DR
This paper introduces two innovative private coded caching schemes that ensure user demand privacy in shared-link networks, optimizing load while maintaining information-theoretic privacy, and extends the classical MAN model.
Contribution
The paper proposes two novel private coded caching schemes with order optimality, addressing demand privacy in shared-link networks with multiple files and users.
Findings
First scheme uses virtual users and MAN delivery, but has high sub-packetization.
Second scheme employs MDS-coded cache placement, reducing sub-packetization.
Both schemes are order optimal except in specific parameter regimes.
Abstract
Caching is an efficient way to reduce network traffic congestion during peak hours by storing some content at the user's local cache memory without knowledge of later demands. For the shared-link caching model, Maddah-Ali and Niesen (MAN) proposed a two-phase (placement and delivery) coded caching strategy, which is order optimal within a constant factor. However, in the MAN coded caching scheme, each user can obtain the information about the demands of other users, i.e., the MAN coded caching scheme is inherently prone to tampering and spying the activity/demands of other users. In this paper, we formulate an information-theoretic shared-link caching model with private demands, where there are K cache-aided users (which can cache up to M files) connected to a central server with access to N files. Each user requests L files. Our objective is to design a two-phase private caching scheme…
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