ACHIEVING OF EFFECTIVE VIDEO STREAMING BY USER PRIVACY MANAGEMENT

Due to popularity of streaming applications in recent years, reliable video delivery to suspend objectionable content-leakage has, certainly, turn out to be important. Traffic patterns with reference to streaming videos symbolize the skeleton carrying their features and are exceptional per content.  In our work we focus on illicit redistribution of streaming content by means of an allowed user towards external networks. By comparing videos of distinctive length, in our work we determine a relationship among length of videos to be evaluated and their resemblance. In our work we suggest an innovative content-leakage detection system that is robust to variation of video length. The system that was introduced assist in flexible as well as precise streaming content leakage detection regardless of length of streaming content, which improve secured and trustworthy content delivery.