Performance evaluation of secret sharing schemes with data recovery in secured and reliable heterogeneous multi-cloud storage

Properties of redundant residue number system (RRNS) are used for detecting and correcting errors during the data storing, processing and transmission. However, detection and correction of a single error require significant decoding time due to the iterative calculations needed to locate the error....

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Bibliographic Details
Published in:Cluster computing 2019-12, Vol.22 (4), p.1173-1185
Main Authors: Tchernykh, Andrei, Miranda-López, Vanessa, Babenko, Mikhail, Armenta-Cano, Fermin, Radchenko, Gleb, Drozdov, Alexander Yu, Avetisyan, Arutyun
Format: Article
Language:English
Subjects:
Algorithms
Cloud computing
Computer Communication Networks
Computer Science
Confidentiality
Data processing
Data recovery
Decoding
Error correction
Error correction & detection
Error detection
Expected values
Methods
Number systems
Operating Systems
Performance evaluation
Processor Architectures
Residue number systems
Storage
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Summary:Properties of redundant residue number system (RRNS) are used for detecting and correcting errors during the data storing, processing and transmission. However, detection and correction of a single error require significant decoding time due to the iterative calculations needed to locate the error. In this paper, we provide a performance evaluation of Asmuth-Bloom and Mignotte secret sharing schemes with three different mechanisms for error detecting and correcting: Projection, Syndrome, and AR-RRNS. We consider the best scenario when no error occurs and worst-case scenario, when error detection needs the longest time. When examining the overall coding/decoding performance based on real data, we show that AR-RRNS method outperforms Projection and Syndrome by 68% and 52% in the worst-case scenario.
ISSN:1386-7857
1573-7543
DOI:10.1007/s10586-018-02896-9