Quantifying the cost of privately storing data in distributed storage systems

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Authors
Chou, RĂ©mi
Advisors
Issue Date
2022-07-21
Type
Preprint
Keywords
Servers , Costs , Cryptography , Data breach , Secure storage , Memory , Encoding
Research Projects
Organizational Units
Journal Issue
Citation
R. A. Chou, "Quantifying the Cost of Privately Storing Data in Distributed Storage Systems," in IEEE Transactions on Information Theory, 2022, doi: 10.1109/TIT.2022.3193005.
Abstract

Consider a user who wishes to store a file in multiple servers such that at least t servers are needed to reconstruct the file, and z colluding servers cannot learn any information about the file. Unlike traditional secret-sharing models, where perfectly secure channels are assumed to be available at no cost between the user and each server, we assume that the user can only send data to the servers via a public channel, and that the user and each server share an individual secret key with length n. For a given n, we determine the maximal length of the file that the user can store, and thus quantify the necessary cost to store a file of a certain length, in terms of the length of the secret keys that the user needs to share with the servers. Additionally, for this maximal file length, we determine (i) the optimal amount of local randomness needed at the user, (ii) the optimal amount of public communication from the user to the servers, and (iii) the optimal amount of storage requirement at the servers.

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Description
Preprint version available from arXiv. Click on the DOI to access the publisher's version of this article.
Publisher
IEEE
Journal
Book Title
Series
IEEE Transactions on Information Theory
2022
PubMed ID
DOI
ISSN
1557-9654
EISSN