Secure Distrusted Model for Large Data in Cloud Storage Based on No-SQL Database
Fathima Mussarath1, K. G Manjunath2
1Fathima Mussarath, M.Tech Student, Computer Science and Engineering, Siddaganga Institute of Technology, Tumkur (Karnataka), India.
2K.G. Manjunath, Assistant Professor, Computer Science and Engineering, Siddaganga Institute of Technology, Tumkur (Karnataka), India.
Manuscript received on 13 June 2017 | Revised Manuscript received on 20 June 2017 | Manuscript Published on 30 June 2017 | PP: 140-144 | Volume-6 Issue-5, June 2017 | Retrieval Number: E5021066517/17©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Cloud based storage providers bring forth limitless storage capacity and ingress potential to store and retrieve large amount of information. These operations performed by several users lead to increase in the system load on cloud storage. Hence, in order to provide better quality of service to the users, the system has to consider numerous pre-requisites such as efficient management and storage of large files, efficient management of the space (reduce the wastage of storage space) and data protection. In this paper we propose a distributed cloud storage which provides architecture and algorithms to administer the problems of the cloud storage. A less complicated and fixed size metadata design is proposed which diminishes the space unpredictability of metadata. The solution also supports a secure de-duplication mechanism for cross-users, that reduce the operation cost and protects the privacy. The data has to be protected before being uploaded to the cloud storage. The solution makes use of the key-value store no-sql database thus providing distributed and scalable cloud storage for large information.
Keywords: Cloud Storage, No-SQL, Convergent Encryption, Scalable.
Scope of the Article: Cloud Computing