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IJML 2012 Vol.2(6): 855-859
doi: 10.7763/IJMLC.2012.V2.252

Effective and Secure Scheme for Video Streaming Using SRTP

P. Iyyanar1 , M. Chitra1 , P. Sabarinath2

  • 1Department of Information Technology, Sona College of Technology, Salem, Tamilnadu, India.
  • 2Tata Elxsi, Chennai and Tamilnadu, India.

Abstract

Real-time of live video or stored video is the predominant part of the real-time multimedia networking. In the streaming technology, the video file need not be downloaded in full, but is being played out while content of the video file are being received and decoded. To send video across the Internet has two approaches: video data compression and design of communication protocol. One approach is to design a low bit rate coder as well as protecting the result of the bit stream using UDP. Another approach is to design new transport protocol by using video coding algorithm. Security plays a major role in streaming application. In this paper, we present an efficient solution for encryption on the video streams using AES-CFB on un-trusted client–server networks. The valuation of the prototype system is to provide a safer transmission across the Internet with cost-effective and quality-guaranteed manner while using SRTP.

Keywords

  • Video streaming
  • AES
  • RTP
  • RTSP
  • SRTP
  • SRTCP
  • UDP
  • H.264
252-L30067

How to Cite

Copied

P. Iyyanar, M. Chitra, and P. Sabarinath, "Effective and Secure Scheme for Video Streaming Using SRTP," International Journal of Machine Learning, vol. 2, no. 6, pp. 855-859, 2012. https://doi.org/10.7763/IJMLC.2012.V2.252

Copyright & License

Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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General Information

  • E-ISSN: 2972-368X
  • Abbreviated Title: Int. J. Mach. Learn.
  • DOI: 10.18178/IJML
  • Frequency: Quarterly
  • Average Days to Accept: 68 days
  • Acceptance Rate: 27%
  • Editor-in-Chief: Dr. Lin Huang
  • Executive Editor:  Ms. Cherry L. Chen
  • DOI: 10.18178/IJML
  • Abstracing/Indexing: Google Scholar, Crossref, ProQuest, Electronic Journals Library, CNKI.
  • E-mail: editor@ijml.org
  • APC: 500USD