DATA DUPLICATION REMOVAL USING FILE CHECKSUM WITH PYTHON

Author (s) : G.Sowmiya, T .Durgadevi , J.Shanbagam ,M.Sivabalan

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Abstract :
Data de-duplication is a method used to compress information aiding in the removal of duplicate copies of information. It has been effective in cloud storage; it decreases the required storage space to secure such data by considering de-duplication this concurrent method has been projected. Making sure that a company secures its data is very important. As such, this paper formally addresses the approval of data de-duplication. While it is similar to the common customary de-duplication, data de-duplication takes into consideration the different benefits of customers. In the same way, introducing fewer new copy checks for engineers could increase new de-duplication development supporting techniques. Security investigation have shown the strategy is secure concerning the descriptions shown in the projected security model. This paper will actualize a prototype of a suggested, sanctioned copy check plan and perform experiments using the prototype. The study will demonstrate that the proposed prototype causes inconsequential overhead-differentiated archetypal processes.

Keywords : Data Duplication removal, Phython

Conference Date : 30/08/2019

Pages : 306

Paper ID : 19297