@article{9df96836239d4003be992db1932ae7ed,
title = "Performance evaluation of secret sharing schemes with data recovery in secured and reliable heterogeneous multi-cloud storage",
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. {\textcopyright} 2019, Springer Science+Business Media, LLC, part of Springer Nature.",
keywords = "Reliability, Residue number system, Storage, Data handling, Digital storage, Energy storage, Iterative decoding, Numbering systems, Different mechanisms, Iterative calculation, Performance based, Performance evaluations, Redundant residue number systems, Secret sharing schemes, Worst case scenario, Error detection",
author = "A. Tchernykh and V. Miranda-L{\'o}pez and M. Babenko and F. Armenta-Cano and G. Radchenko and A.Y. Drozdov and A. Avetisyan",
note = "Cited By :18 Export Date: 27 August 2021 Correspondence Address: Tchernykh, A.; CICESE Research CenterMexico; email: chernykh@cicese.mx Funding details: Russian Foundation for Basic Research, RFBR Funding details: Council on grants of the President of the Russian Federation, SP-1215.2016 Funding text 1: The work is partially supported by Russian Federation President Grant SP-1215.2016, and Russian Foundation for Basic Research (RFBR) 18-07-01224.",
year = "2019",
doi = "10.1007/s10586-018-02896-9",
language = "English",
volume = "22",
pages = "1173--1185",
number = "4",
}