Analysis of Secured Distributed Cloud Data Storage Based on Multilevel RNS

被引：0

作者：

Tchernykh, Andrei ^{[1
,2
]}

Du, Zhihui ^{[3
]}

Babenko, Mikhail ^{[4
]}

Chervyakov, Nikolay ^{[4
]}

Navaux, Philippe O. A. ^{[5
]}

Miranda-Lopez, Vanessa ^{[1
]}

Cortes-Mendoza, Jorge M. ^{[1
]}

Avetisyan, Arutyun ^{[6
]}

机构：

[1] CICESE Res Ctr, Ensenada, BC, Mexico

[2] South Ural State Univ, Chelyabinsk, Russia

[3] Tsinghua Univ, Beijing, Peoples R China

[4] North Caucasus Fed Univ, Stavropol, Russia

[5] Univ Fed Rio Grande do Sul, Porto Alegre, RS, Brazil

[6] RAS, Inst Syst Programming, Moscow, Russia

来源：

PROCEEDINGS OF THE 2018 IEEE CONFERENCE OF RUSSIAN YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING (EICONRUS) | 2018年

基金：

俄罗斯基础研究基金会;

关键词：

multi-cloud; security; safety; reliability; Residue number system;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Cloud data storages are functioning in the presence of the risks of confidentiality, integrity, and availability related with the loss of information, denial of access for a long time, information leakage, conspiracy and technical failures. In this paper, we provide analysis of reliable, scalable, and confidential distributed data storage based on Multilevel Residue Number System (RNS) and Mignotte secret sharing scheme. We use real cloud providers and estimate characteristics such as the data redundancy, speed of data encoding, and decoding to cope with different user preferences. The analysis shows that the proposed storage scheme increases safety and reliability of traditional approaches and reduces data storage overheads by appropriate selection of RNS parameters.

引用

页码：382 / 386

页数：5

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