DDDA: Development of a Distributed De-Duplication Approach using Big Data Analysis in Hybrid Cloud Environment

Aarfa Khan¹ , Snehlata Kothari²

Section:Research Paper, Product Type: Journal-Paper
Vol.7 , Issue.4 , pp.18-21, Aug-2019

CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v7i4.1821

Online published on Aug 31, 2019

Copyright © Aarfa Khan, Snehlata Kothari . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
A renewed interest in cloud computing adoption has occurred in academic and industry settings because emerging technologies have strong links to cloud computing and Big Data technology. Big Data technology is driving cloud-computing adoption in large business organizations. For cloud computing adoption to increase, cloud computing must transition from low-level technology to high-level business solutions. Security, privacy and elimination of repetitive copies of data is of primary concern for many applications of Big Data (BD). Data of the consumers must be protected else private information can be leaked. Cloud should let the owners or a trusted third party to check for the integrity of their data storage without demanding a local copy of the data. For this reason, this paper covered: Issues in big data management (BDM), secure data processing (DP) and access control (AC’s) of data in cloud by data owner, data integrity verification in cloud. On performance basis, proposed approach is tested and simulated on different raw data and their processing compared with few of existing algorithm based on security, accessibility and integrity parameters. Results obtained are satisfactory to achieve all in single approach.

Key-Words / Index Term :
DDDA, Big Data, Security, Cloud Computing, BDM etc

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