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Cross Subspace Alignment and the Asymptotic Capacity of $X$-Secure $T$-Private Information Retrieval

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arxiv 1808.07457 v2 pith:W7J6NCYF submitted 2018-08-22 cs.IT math.IT

classification cs.ITmath.IT
keywords capacityinformationnumberprivateretrievalsecurityserverssubspace
verification ladder T0 review T1 audit T2 compute T3 formal

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abstract

$X$-secure and $T$-private information retrieval (XSTPIR) is a form of private information retrieval where data security is guaranteed against collusion among up to $X$ servers and the user's privacy is guaranteed against collusion among up to $T$ servers. The capacity of XSTPIR is characterized for arbitrary number of servers $N$, and arbitrary security and privacy thresholds $X$ and $T$, in the limit as the number of messages $K\rightarrow\infty$. Capacity is also characterized for any number of messages if either $N=3, X=T=1$ or if $N\leq X+T$. Insights are drawn from these results, about aligning versus decoding noise, dependence of PIR rate on field size, and robustness to symmetric security constraints. In particular, the idea of cross subspace alignment, i.e., introducing a subspace dependence between Reed-Solomon code parameters, emerges as the optimal way to align undesired terms while keeping desired terms resolvable.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Improved Storage for Efficient Private Information Retrieval

    cs.IT 2019-08 reject novelty 6.0 of 10

    A hybrid of MDS coding and uncoded partial replication achieves the known PIR storage-download curve at more points, but the general claim is only demonstrated by a single example.

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