Secure Video Streaming in Social Networks using Cloud Computing

Authors

  • R.Dhanya  Department of CSE, Adhiyamaan College of Engineering, Hosur, India
  • G.R.Anantharaman  Department of CSE, Adhiyamaan College of Engineering, Hosur, India

Keywords:

KEYWORDS: : Scalable Video Coding, Adaptive Video Streaming, Mobile Networks, Social Video Sharing, Cloud Computing.

Abstract

Cloud Computing could be a technology that uses the internet and to maintain data and applications in central remote servers. Video streaming is one in every of the rising techniques in cloud. Video streaming implies that divide the total videos into type of section therefore transmitted the section into consumer. The video traffic over mobile network are increasing tremendously but the wireless link capability cannot maintain with the traffic. This gap ends up in poor service quality of video streaming over mobile networks. cloud computing technology into mobile networks, a replacement framework is introduced referred to as Secured AMES-Cloud containing two parts: AMoV (Adaptive Mobile Video streaming) and ESoV (Efficient Social Video sharing) .For each user, AMoV constructs a private agent to regulate streaming flow supported link quality using scalable video coding technique. ESoV permit social network interactions among users and private agents prefetch user requested videos before. Here, security is provided to each user in order that their videos cannot be seen by others unless the user desires.

References

[1] Xiaofei Wang, Min Chen, Ted Taekyoung Kwon, Laurence T. Yang, and Victor C.M. Leung, “AMES-Cloud: A  Framework Mobile Video Streaming and Efficient Social Video Sharing in the Clouds”, IEEE Transactions on cloud computing , vol:15 , no:4, year 2013.
[2] Sahel Mastoureshgh, a Thesis of “Measurement and Method for Receiver Buffer Sizing in Video Streaming”, in April 2012.
[3] Patrick Seeling and Martin Reisslein, “The Rate Variability-Distortion (VD) Curve of Encoded Video and Its Impact on Statistical Multiplexing”, IEEE Transactions on broadcasting, vol. 51, no. 4, December 2005.
[4] Gabriel-Miro Muntean, Gheorghita Ghinea and Timothy Noel Sheehan, “Region of Interest-Based Adaptive Multimedia Streaming Scheme”, IEEE Transactions on broadcasting,  vol 54, no. 2, June 2008.
[5] K.Tappayuthpijarn, G. Liebl, T. Stockhammer, and E. Steinbach, “Adaptive Video Streaming over A Mobile Network with TCP-Friendly Rate Control”, in IWCMC, 2009.
[6] R.Abinaya, G.Ramachandran, “Efficient p2p Video Sharing Scheme in Online SocialNetwork”, vol.3, Issue 5, pp. 23-27, 2014.
[7] M.Sona, D.Daniel, S.Vanitha, “A Survey on Efficient Video Sharing and Streaming in  cloudEnvironment using vc”, Vol. 1, Issue 8, 2003.

Downloads

Published

2015-02-25

Issue

Section

Research Articles

How to Cite

[1]
R.Dhanya, G.R.Anantharaman, " Secure Video Streaming in Social Networks using Cloud Computing, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 1, pp.314-318, January-February-2015.