BIROn - Birkbeck Institutional Research Online

    PIR schemes with small download complexity and low storage requirements

    Blackburn, S.R. and Etzion, T. and Paterson, Maura B. (2016) PIR schemes with small download complexity and low storage requirements. Technical Report. Birkbeck, University of London, London, UK.

    [img]
    Preview
    Text
    26750.pdf - Draft Version

    Download (1MB) | Preview

    Abstract

    Shah, Rashmi and Ramchandran recently considered a model for Private Information Retrieval (PIR) where a user wishes to retrieve one of several R-bit messages from a set of n non-colluding servers. Their security model is information-theoretic. Their paper is the first to consider a model for PIR in which the database is not necessarily replicated, so allowing distributed storage techniques to be used. They concentrate on minimising the total number of bits downloaded from the servers. Shah et al. provide a construction of a scheme that requires just R + 1 bits to be downloaded from servers, but requires an exponential (in R) number of servers. We provide an improved scheme that requires a linear number of servers. Shah et al. construct a scheme with linear total storage (in R) that needs at least 2R bits to be downloaded. For any positive �, we provide a construction with the same storage property, that requires at most (1 + �)R bits to be downloaded; moreover one variant of our scheme only requires each server to store a bounded number of bits (in the sense of being bounded by a function that is independent of R). Finally, we simplify and generalise a lower bound due to Shah et al. on the download complexity of such a PIR scheme. In a natural model, we show that an n-server PIR scheme requires at least nR/(n−1) download bits, and provide a scheme that meets this bound.

    Metadata

    Item Type: Monograph (Technical Report)
    Additional Information: Birkbeck Pure Mathematics Preprint Series #24
    School: Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
    Depositing User: Administrator
    Date Deposited: 22 Mar 2019 13:17
    Last Modified: 09 Aug 2023 12:46
    URI: https://eprints.bbk.ac.uk/id/eprint/26750

    Statistics

    Activity Overview
    6 month trend
    205Downloads
    6 month trend
    334Hits

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item
    Edit/View Item