Content Leakage Detection for Trusted CDN by Using Traffic Pattern under in an Environment Subjected to Variation in Length of Video

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 system focus on the illegal distribution of streaming content by an authorized user to the external network by using a traffic pattern. The existence of videos of different length in the network environment causes the degradation in the content leakage detection performance. To overcome this problem by comparing different length videos, determine the relationship between the length of videos to be compared and their similarity define the decision threshold enabling accurate leakage detection in an environment with different length videos.