Secure distributed storage: rate-privacy trade-off and XOR-based coding scheme

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Authors
Chou, RĂ©mi
Kliewer, Jorg
Advisors
Issue Date
2020-06
Type
Conference paper
Keywords
Digital storage , Economic and social effects , Information theory
Research Projects
Organizational Units
Journal Issue
Citation
R. A. Chou and J. Kliewer, "Secure Distributed Storage: Rate-Privacy Trade-Off and XOR-Based Coding Scheme," 2020 IEEE International Symposium on Information Theory (ISIT), Los Angeles, CA, USA, 2020, pp. 605-610
Abstract

We consider the problem of storing data in a distributed manner over T servers. We require the data (i) to be recoverable from the T servers, and (ii) to remain private from any T -1 colluding servers, where privacy is quantified in terms of mutual information between the data and all the information available at the T -1 colluding servers. For this model, we determine (i) the fundamental trade-off between storage size and the level of desired privacy, (ii) the optimal amount of local randomness necessary at the encoder, and (iii) an explicit low-complexity coding scheme that solely relies on XOR operations and that asymptotically (with the data size) matches the fundamental limits found.

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Publisher
IEEE
Journal
Book Title
Series
2020 IEEE International Symposium on Information Theory (ISIT);
PubMed ID
DOI
ISSN
2157-8095
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