Analysis of secured distributed cloud data storage based on multilevel RNS
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, a...
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| Auteurs principaux: | , , , |
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| Format: | Статья |
| Langue: | English |
| Publié: |
Institute of Electrical and Electronics Engineers Inc.
2018
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| Sujets: | |
| Accès en ligne: | https://www.scopus.com/record/display.uri?eid=2-s2.0-85048037887&origin=resultslist&sort=plf-f&src=s&nlo=1&nlr=20&nls=afprfnm-t&affilName=nort*+caucas*+fed*+univ*&sid=762e6d30544023d6a322a94577ba172b&sot=afnl&sdt=afsp&sl=53&s=%28AF-ID%28%22North+Caucasus+Federal+University%22+60070541%29%29&relpos=26&citeCnt=0&searchTerm= https://dspace.ncfu.ru:443/handle/20.500.12258/635 |
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| Résumé: | 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 |
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