Sensing Identicals Files and Eliminating SHA Base Algorithm (SIFE-SBA) for WhatApps

Authors(2) :-Sona Sahu, Prof. Adity Sinha

An extreme transaction of the WhatsApp’s which is more duplicate or replicate files. where whole documents may be served in different formats like JPG,JPEG, PNG., GIF, PDF, Doc, DOCX and more. That Files may get copied to avoid delays/data consumption to provide fault acceptance. large databases of WhatsApp’s files store in the declassification effort with receiving folders. copies of the files are abundant in images, video, Audio and short text in the databases. In our examination on On-line Social Networks (WhatsApp’s) of images, more than 60% of total data are exact duplicate. due to forwarding by friends with linked each other. In this algorithms for detecting replicated files before store in local database by checking with updated hash index which are more critical in WhatsApp’s applications where data is received from many friends links sources or groups. The deduction of duplication files are very necessary, to reduce data consumption in runtime, to improve data storing capacity with higher accuracy.

Authors and Affiliations

Sona Sahu
Department of CSE, BITS, Bhopal, Madhya Pradesh, India
Prof. Adity Sinha
Department of CSE, BITS, Bhopal, Madhya Pradesh, India

Unique Documents, Detecting Duplicate, Copying, Database Storing, Data Consumptions, Whatsapp’s.

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Publication Details

Published in : Volume 2 | Issue 3 | May-June 2017
Date of Publication : 2017-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 390-395
Manuscript Number : CSEIT172367
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Sona Sahu, Prof. Adity Sinha, "Sensing Identicals Files and Eliminating SHA Base Algorithm (SIFE-SBA) for WhatApps ", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 3, pp.390-395, May-June-2017.
Journal URL : http://ijsrcseit.com/CSEIT172367

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