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Automatic classification for preventing duplication of online multimedia data in secure cloud infrastructure

Publication Type : Journal Article

Publisher : International Journal of Advanced Intelligence Paradigms

Source : International Journal of Advanced Intelligence Paradigms, 16(3-4), pp.404-413.

Url : https://www.inderscienceonline.com/doi/abs/10.1504/IJAIP.2020.107542

Campus : Chennai

School : School of Engineering

Department : Computer Science and Engineering

Year : 2020

Abstract : Cloud computing provides various types of software and hardware services collectively working together at different computational environment to the end user through internet. Cloud computing is an emerging technology that provides variety of applications to the end user and cloud services can be accessed from anywhere in the world in secured way whenever required. Nowadays free online hosting websites produce a large amount of multimedia data. It may include images, audios, 2D videos, 3D videos. Some people will use videos and audios in the distributed environment against the copyrights from the original content creators. This will create a large amount of revenue loss for the original content creator. The protection of theses multimedia content is a challenging task. Cloud computing has some security issues like authentication, privacy and data security. Our proposed system will provide highly scalable storage infrastructure in cloud environment. It also protects the multimedia content by creating a depth signature and classifying them with duplicated contents using SVM classifier. This proposed system will avoid the security issues in multimedia content and it will increase the revenue for original content creator. The proposed system can work in both public and private cloud infrastructure.

Cite this Research Publication : Suganya, E., Aravindhraj, N., Sountharrajan, S., Kumar, G.S. and Rajan, C., 2020. Automatic classification for preventing duplication of online multimedia data in secure cloud infrastructure. International Journal of Advanced Intelligence Paradigms, 16(3-4), pp.404-413.

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