Video Content Leakage Detection by Matching Traffic Pattern

Volume : IV, Issue : IV, April - 2015

Blessey. P. M, Divya. P

In recent years, streaming of multimedia services and applications has been rapidly increasing. Avoidance of

the undesirable content-leakage by providing the trusted video delivery has been a critical mission. Conventional

systems have concentrated on the leakage issue during the privacy preservation of the user by examining techniques based on the streamed

traffic observation throughout the network. These conventional systems retain a high detection, which considerably degrades the varying

length of the video due to the network traffic variation caused by the packet loss or network delay. To overcome such an issue, we propose a

scheme called novel content-leakage detection, which provides high robustness against the varying video length. Comp� videos of varying

length helps to determine the similarities and the differences between the compared videos. Hence the varying video length detection using the

novel content-leakage detection scheme has improved the detection performance. Therefore a well-organized and effective proposed scheme

estimates the packet loss, delay variation and varying length of the video with the help of test bed experiment.