Optimizing Cloud Storage by Secure Data Deduplication

Authors(2) :-Monika Sharma, Neeraj Shrivastava

In Recent days, Cloud computing turns out to be exceptionally important which gives very accessible storage space on the cloud. Data deduplication is a most prominent data compression technique. This strategy is used to reduce the duplicity of information. To maintain capacity and decrease storage space in cloud storage information deduplication is used. Taking care of address following difficulties, this paper makes an endeavor to formalize the thought of secure and productive cloud storage. In this way, the component of openness and accessibility of the information. Text files are used as input. In the first module, the record is first processed for finding the essential features from the text files. For distinguishing the same sort of information these elements are utilized in this manner-containing comparative. This space based ordering of records is performed in advance. By Tiger, hash generation algorithm produces a key that will go through the 3DES algorithm for encoding. The results show the strategies proposed playing out a beneficial operation on contrasting and the customary system.

Authors and Affiliations

Monika Sharma
Department of Computer Science & Engineering, IES IPS Academy, Indore, Madhya Pradesh, India
Neeraj Shrivastava
Department of Computer Science & Engineering, IES IPS Academy, Indore, Madhya Pradesh, India

Cloud Storage, Cryptographic Data, Data Management, Data Deduplication, Hash Tree

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Publication Details

Published in : Volume 2 | Issue 5 | September-October 2017
Date of Publication : 2017-10-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 38-42
Manuscript Number : CSEIT17256
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Monika Sharma, Neeraj Shrivastava, "Optimizing Cloud Storage by Secure Data Deduplication", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 5, pp.38-42, September-October.2017
URL : http://ijsrcseit.com/CSEIT17256

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