International Journal of Science , Engineering and Management (IJSEM)

Monthly Journal for Science , Engineering and Management

Volume3,February 2018,

Topic : De-duplication and Security Using 3D AES over Cloud

Authors:Renuka C. Deshpande || S. S. Ponde

Abstract:Deduplication process is being mostly used in cloud server space to shrink the quantity of server space and reduce network bandwidth. To eradicate duplicate pieces of repeat data, Data deduplication is exclusive data compression proposal used. To protect the confidentiality & isolation of receptive data while supporting deduplication, the convergent encryption method has been proposed to encrypt data before outsourcing. For healthier data defence, this manuscript takes the primary effort to properly deal with the difficulty of certified data deduplication. Apart from usual deduplication structure, the differential rights concept for users has further measured in replica check moreover the records itself. There are numerous novel deduplication constructions supporting certified replica check in a fusion cloud architecture. Security investigations express that our proposal is secure in conditions of the characterization specified in the proposed security representation. As an evidence of conception, we implement a trial product of our future certified duplicate check scheme and conduct testbed experiments using our trial product. We include SHA-1 algorithm to deduplicate data, IBE for the authentication of users. We also enhanced the security of cloud data by using symmetric algorithms i.e. Modified (3D) AES with least operating cost evaluate to previous research operations. The proposed results find that the storage, speed and security have been increased compared to previous research operations..

Keywords: De-duplication, Confidentiality, Hybrid cloud, differential privileges, 3 DAES

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DOI: 01.1617/vol5/iss2/pid59743


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Editor-in-Chief

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Dr.Muhammad Ishtiaq,
Mirpur University of
Science & Technology,
Mirpur, Azad Kasmir.

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IMPACT FACTOR: 2.7

ISSN(Online): 2456-1304

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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Journal Code : IJSEM
Electronic ISSN : 2456-1304
Impact Factor : 2.7
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