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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 8, ISSUE 6, JUNE 2019

Combining Deduplication and String Comparison for Avoiding Redundant Data with Enhanced Authentication Approach on Cloud

R.Sasikumar, S.Deva Priya

DOI: 10.17148/IJARCCE.2019.8610

Abstract: Every day activity many number of data and file has been generated. Every organization wants to store and main that information with efficient manner. Efficient denotes, storage space utilization, securely maintaining the organization records, accessing records quickly.  On the organization server maintain the files some of them are stored for more than once. It will increase the utilization of memory. It will lead us to insufficient storage space. Sometimes outgoing data in the network connection contain the duplicate files so, network traffic is occurring (or) the transfer speed gets shrunk. So, here we propose a technique called data deduplication and we also use the algorithm of machine learning called string comparison to detect the redundant data and files. To ensure the security we also proposed hybrid authentication approach.

Keywords: Cloud Services, Deduplication, Greedy Approach, String Comparison

How to Cite:

[1] R.Sasikumar, S.Deva Priya, “Combining Deduplication and String Comparison for Avoiding Redundant Data with Enhanced Authentication Approach on Cloud,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2019.8610