Journal
IEEE TRANSACTIONS ON INFORMATION THEORY
Volume 66, Issue 12, Pages 7427-7438Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIT.2020.3013152
Keywords
Security; privacy; MDS codes; distributed storage
Funding
- NSF [CCF-1617504, CCF-1907053, CNS-1731384]
- Office of Naval Research (ONR) [N00014-18-1-2057]
- Army Research Office (ARO) [W911NF-17-S-0002-03]
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The problem of X-secure T-private information retrieval from MDS coded storage is studied in this paper, where the user wishes to privately retrieve one out of K independent messages that are distributed over N servers according to an MDS code. It is guaranteed that any group of up to X colluding servers learn nothing about the messages and that any group of up to T colluding servers learn nothing about the identity of desired message. A lower bound of achievable rates is proved by presenting a novel scheme based on cross-subspace alignment and a successive decoding with interference cancellation strategy. For large number of messages (K -> infinity) the achieved rate, which we conjecture to be optimal, improves upon the best known rates previously reported in the literature by Raviv and Karpuk, and generalizes an achievable rate for MDS-TPIR previously found by Freij-Hollanti et al. that is also conjectured to be asymptotically optimal. The setting is then expanded to allow unresponsive and Byzantine servers. Finally, the scheme is applied to find a new lower convex hull of (download, upload) pairs of secure and private distributed matrix multiplication that generalizes, and in certain asymptotic settings strictly improves upon the best known previous results.
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