Traffic pattern-based content leakage detection for trusted content delivery networks

Traffic pattern-based content leakage detection for trusted content delivery networks

Due to the increasing popularity of multimedia streaming applications and services in recent years, the issue of trusted video delivery to prevent undesirable content-leakage has, indeed, become critical. While preserving user privacy, conventional systems have addressed this issue by proposing methods based on the observation of streamed traffic throughout the network. These conventional systems maintain a high detection accuracy while coping with some of the traffic variation in the network (e.g., network
delay and packet loss), however, their detection performance substantially degrades owing to the significant variation of video lengths. In this paper, we focus on overcoming this issue by proposing a novel content-leakage detection scheme that is robust to the variation of the video length. By comparing videos of different lengths, we determine a relation between the length of videos to be compared and the similarity between the compared videos. Therefore, we enhance the detection performance of the proposed scheme even in an environment subjected to variation in length of video. Through a testbed experiment, the effectiveness of our proposed scheme is
evaluated in terms of variation of video length, delay variation, and packet loss.

2 Thoughts to “Traffic pattern-based content leakage detection for trusted content delivery networks”

  1. Bhumi

    Hello Mam/sir
    can you please send me general overview of this paper like existing or proposed system
    if possible then please send me the PPT and source code of this topic.

  2. nithi

    hi mam……send me general overview of this paper like existing and propose system….if possible then send me ppt coding

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