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https://dspace.ncfu.ru/handle/20.500.12258/7038
Название: | Data reliability and redundancy optimization of a secure multi-cloud storage under uncertainty of errors and falsifications |
Авторы: | Babenko, M. G. Бабенко, М. Г. Kuchukov, V. A. Кучуков, В. А. |
Ключевые слова: | Cloud storage;Polynomial RNS;Reliability;Security;Uncertainty;Redundancy |
Дата публикации: | 2019 |
Издатель: | Institute of Electrical and Electronics Engineers Inc. |
Библиографическое описание: | 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 |
Источник: | Proceedings - 2019 IEEE 33rd International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2019 |
Краткий осмотр (реферат): | 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 (Унифицированный идентификатор ресурса): | 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 |
Располагается в коллекциях: | Статьи, проиндексированные в SCOPUS, WOS |
Файлы этого ресурса:
Файл | Описание | Размер | Формат | |
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scopusresults 996 .pdf Доступ ограничен | 355.44 kB | Adobe PDF | Просмотреть/Открыть | |
WoS 853 .pdf Доступ ограничен | 82.66 kB | Adobe PDF | Просмотреть/Открыть |
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