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Performance Evaluation of Fine-Grained Deduplication using Hybrid Cloud


Author : Shital S. Dadge and Ashish Kumar

Pages : 1180-1184
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Abstract

Cloud computing provides unlimited virtualized resources to the users as services at very low price. It has attracted large number of users from all fields. As the number of users will increase more data will be uploaded on cloud. So to store and upload large volume of data is big problem today. The efficient data reduction technology will be required to handle this problem. Deduplication is such a technology which does not allows us to store and transfer duplicate data in storing devices. So it plays an important role for bandwidth-sensitive data uploading and cloud applications. This system combines both file level and block level deduplication. For both levels of deduplication it uses a variant of convergent encryption along with privileges, which resists brute-force attacks. Here keys are server-generated, which provides security to cross-client deduplication. This system also uses various levels of keys to efficiently manage them, and to reduce the computation time. This system provides security to both data and key by using hybrid cloud architecture with several new deduplication constructions. It support authorized duplicate check, in which the duplicate-check tokens for files and blocks are generated by the private cloud server with file and block level keys. This system provides better protection to data security, and attempt to address the problem of authorized fine-grained deduplication.

Keywords: Cloud computing; hybrid cloud; convergent encryption; authorised deduplication

Article published in International Journal of Current Engineering and Technology, Vol.6, No.4 (Aug-2016)

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