Multimedia Objects Copy Detection System in Hybrid Cloud

Authors(2) :-Juveria Nargis, Md Ateeq Ur Rahman

Multimedia contents are very easily redistributed and manipulated illegally around the globe over internet. There are several studies conducted recently to apply security and copyrights to transmission contents, however upto now they have not given satisfactory outcome. Advances in preparing and recording hardware of sight and sound, additionally the accessibility of internet facilitating locales have created it moderately easy to repeat proprietary materials, as an example, recordings, pictures, and music cuts. Redistributing sight and sound substance over the net will create note worthy loss of incomes for content manufacturers. Discovering false fully created duplicates over the net could be advanced computationally piracy operation, see able of the massive volume of the accessible mixed media content over the Internet and the many-sided quality of contrasting substance with recognize duplicates. We display a novel framework for sight and sound substance assurance on cloud foundations.

Authors and Affiliations

Juveria Nargis
Department of Computer Science & Engineering, Shadan College of Engineering & Technology, Hyderabad, Telangana, India
Md Ateeq Ur Rahman
Professor, Department of Computer Science & Engineering, Shadan College of Engineering & Technology, Hyderabad, Telangana, India

Multimedia objects, Three-dimensional, Steganography-based, Secret Search Protection, Software resources.

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Publication Details

Published in : Volume 2 | Issue 6 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 164-167
Manuscript Number : CSEIT172667
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Juveria Nargis, Md Ateeq Ur Rahman, "Multimedia Objects Copy Detection System in Hybrid Cloud", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.164-167, November-December.2017

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