Content Leakage Detection for Trusted Delivery Networks using DRM Technology
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Abstract
As the rapid development of broadband technologies and the advancement of high-speed networks, Multimedia streaming applications and services are becoming popular in recent a year, that’s why issue of trusted video delivery to prevent the undesirable content leakage become critical. The protection of the bit stream from unauthorized use, duplication and distribution is the key concern in video streaming services. The conventional Systems addressed this issue by proposing methods based on observation of streamed traffic throughout the network and Digital Rights Management (DRM) is one of the most popular approaches to prevent undesirable contents distribution to unauthorized users. The job of maintaining high detection accuracy while coping with traffic variation in the network is done by conventional system. But detection performance of conventional system degrades to the significant variation of length of the video. To overcoming this issue we are proposing a novel leakage detection of content scheme that is robust to the variation of the length of the video. Thus, we enhance the detection performance of the proposed scheme even in an environment subjected to variation in length of video The effectiveness of proposed scheme is evaluated in terms of variation of video length, delay variation, and packet loss. Also, increased in bandwidth, which enhance the performance of transmission, include a module to enhance the performance of overall system.
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References
Hiroki Nishiyama, Desmond Fomo, Zubair Md. Fadlullah,, and NeiKato,Fellow,” Traffic Pattern-Based Content Leakage Detection for Trusted Content Delivery Networks” IEEE Transaction on Parallel and Distributed System , Volume 25, No 2 Feb 2014
K. Ramya, D. RamyaDorai, Dr. M. Rajaram “Tracing Illegal Redistributors of Streaming Contents using Traffic Patterns” IJCA 2011
S. Amarasing and M. Lertwatechakul, “The Study of Streaming Traffic Behavior,” KKU Eng. J., vol. 33, no. 5, pp. 541-553, Sept./Oct. 2006.
M. Dobashi, H. Nakayama, N. Kato, Y. Nemoto, and A. Jamalipour, “Traitor Tracing Technology of Streaming Contents Delivery Using Traffic Pattern in Wired/Wireless Environments,” Proc. IEEE Global Telecomm. Conf., pp. 1-5, Nov./Dec. 2006.
Y. Chu, S.G. Rao, S. Seshan, and H. Zhang, “Enabling Conferencing Applications on the Internet Using an Overlay Multicast Architecture,” Proc. ACM SIGCOMM, pp. 55-67,Aug.
D. Geiger, A. Gupta, L.A. Costa, and J. Vlontzos, “Dynamic Programming for Detecting, Tracking, and Matching Deformable Contours,” Proc.IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 17, no. 3, pp. 294-302, Mar. 1995.
R.S. Naini and Y. Wang, “Sequential Traitor Tracing,” IEEE Trans. Information Theory, vol. 49, no. 5, pp. 1319-1326, May 2003
O. Adeyinka, “Analysis of IPSec VPNs Performance in a Multimedia Environment,” Proc. Fourth Int’l Conf. Intelligent Environments, pp. 25-30,2008
A. Asano, H. Nishiyama, and N. Kato, “The Effect of Packet Reordering and Encrypted Traffic on Streaming Content Leakage Detection (Invited Paper),” Proc. Int’l Conf. Computer Comm. Networks (ICCCN ’10), pp. 1- 6, Aug. 2010.