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Data De-duplication Approach based on Hashing Techniques for Reducing Time Consumption over a Cloud Network - 2016

Research Area:  Cloud Computing

Abstract:

Data de-duplication is a developing and widely engaged method for recent storage systems. Cloud storage is an isolated storage service, where users can upload and transfer their data anytime and anywhere. However, it raises problems regarding privacy and data secrecy because all the data are stored in the cloud storage. This is a focus of concern for users, and it affects their disposition to use cloud storage services. On the other hand, a cloud storage server classically performs a particular data de-duplication to remove duplicate data because the storage space is not infinite. Data de-duplication, which makes it possible for data possessors to share a copy of the same data, can be achieved to reduce the hashing time, memory consumption and detection time and accuracy. This study proposes a novel de-duplication MD5, SHA-1 and SHA-2 Hybridization. Due to the above concerns, there is a research on data de-duplication. In this script, we propose a hashing data de-duplication mechanism which makes the cloud storage server be able to abolish duplicate improves the privacy protection.

Author(s) Name:  Manreet Kaur and Jaspreet Singh

Journal name:  International Journal of Computer Applications

Conferrence name:  

Publisher name:  IJCA

DOI:  10.5120/ijca2016909783

Volume Information:  Volume 142 - Number 5