Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12258/7038
Title: Data reliability and redundancy optimization of a secure multi-cloud storage under uncertainty of errors and falsifications
Authors: Babenko, M. G.
Бабенко, М. Г.
Kuchukov, V. A.
Кучуков, В. А.
Keywords: Cloud storage;Polynomial RNS;Reliability;Security;Uncertainty;Redundancy
Issue Date: 2019
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Tchernykh, A., Babenko, M., Kuchukov, V., Miranda-Lopez, V., Avetisyan, A., Rivera-Rodriguez, R., Radchenko, G. Data reliability and redundancy optimization of a secure multi-cloud storage under uncertainty of errors and falsifications // Proceedings - 2019 IEEE 33rd International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2019. - 2019. - Article number 8778204. - Pages 565-572
Series/Report no.: Proceedings - 2019 IEEE 33rd International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2019
Abstract: Despite all the benefits a cloud data storages offer to customers, there is a high risk of breach of confidentiality, integrity, and availability related with the uncertainty of errors and falsifications, loss of information, denial of access for a long time, information leakage, conspiracy, and technical failures. In this article, we propose a configurable, reliable, and secure distributed data storage scheme with improved data redundancy, reliability, and encoding/decoding speed. Our system utilizes a Polynomial Residue Number System (PRNS) with a new method of error correction codes and secret sharing schemes. We introduce the concept of an approximate value of a rank (AR) of a polynomial. It reduces the computational complexity of the encoding/decoding and PRNS coefficients size. Based on the properties of the approximate value and PRNS, we introduce the AR-PRNS method for error detection, correction, and controlling computational results with capabilities of scalable parallel computing. We provide a theoretical basis to configure and optimize the redundancy of stored data and encoding/decoding speed to cope with different objective preferences, workloads, and storage properties. Theoretical analysis shows that, by appropriate selection of AR-PRNS parameters, the proposed scheme increases the safety, reliability, and reduces the overhead of data storage
URI: https://www.scopus.com/record/display.uri?eid=2-s2.0-85070369843&origin=resultslist&sort=plf-f&src=s&st1=Data+reliability+and+redundancy+optimization+of+a+secure+multi-cloud+storage+under+uncertainty+of+errors+and+falsifications&st2=&sid=e50a9c724338f914aad21164f394e20c&sot=b&sdt=b&sl=138&s=TITLE-ABS-KEY%28Data+reliability+and+redundancy+optimization+of+a+secure+multi-cloud+storage+under+uncertainty+of+errors+and+falsifications%29&relpos=0&citeCnt=0&searchTerm=
http://hdl.handle.net/20.500.12258/7038
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