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|Title:||Performance evaluation of secret sharing schemes with data recovery in secured and reliable heterogeneous multi-cloud storage|
|Authors:||Babenko, M. G.|
Бабенко, М. Г.
|Keywords:||Reliability;Residue number system (RNS);Storage|
|Publisher:||Springer New York LLC|
|Citation:||Tchernykh, A., Miranda-López, V., Babenko, M., Armenta-Cano, F., Radchenko, G., Drozdov, A.Y., Avetisyan, A. Performance evaluation of secret sharing schemes with data recovery in secured and reliable heterogeneous multi-cloud storage // Cluster Computing. - 2019. - Article in Press.|
|Series/Report no.:||Cluster Computing|
|Abstract:||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|
|Appears in Collections:||Статьи, проиндексированные в SCOPUS, WOS|
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