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A Very Robust Dedicated and Verified Technique by Applying the Hybridity of Cloud for Deduplication of Data

Aishwarya Shekhar, Devesh Kumar Srivastava


This paper presents a review study on the data deduplication or single instancing originally refers to the removal of needless data. In this process, duplicate data is expunged, leaving only one copy means single instance of the data to be accumulated. Though, indexing of each and every data is still maintained. Data deduplication is an approach for minimizing the part of storage space an organization required to retain its data. In most of the company, the storage systems carry identical copies of numerous pieces of data. Deduplication terminates these additional copies by saving just one copy of the data and exchanging the other copies with pointers that assist back to the primary copy. To ignore this duplication of the data and to preserve the confidentiality in the cloud here we are applying the concept of hybrid nature of cloud. A hybrid cloud is a fusion of minimally one public and private cloud. To secure the confidentiality of sensitive data while encouraging deduplication, the convergent encryption technique must be used to encrypt the data before expanding. For better shielding the data security, this paper makes an attempt to formally address the problem of data deduplication.


Confidentiality, Deduplication, Data Compression, Hybridity of Cloud

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