Research Article Open Access

An Approach for Detecting and Preventing Content Leakage Using Traffic Pattern of Transmission

Abstract

As the rapid development of broadband technologies and the advancement of high-speed networks,the video streaming applications and service’s popularity over the Internet has increased. The protection of the bit stream from unauthorized use, duplication and distribution is the key concern in video streaming services. Digital Rights Management (DRM) is one of the most popular approaches to prevent undesirable contents distribution to unauthorized users but it have no significant effect on redistribution of contents, decrypted or at the user-side by authorized yet malicious users and content leakage. Also preserving user privacy, conventional systems have addressed this issue by proposed methods based on the observation of streamed traffic throughout the network. These conventional systems maintain high detection accuracy while coping with some of the traffic variation in the network. However, the detection performance considerably degrades due to the significant variation of video lengths. This work proposes a contentleakage detection scheme that is robust to the variation of the video length. By comparing videos of different lengths, a relation between the length of videos to be compared and the similarity between the compared videos is determined. Therefore, the detection performance of the proposed scheme even in an environment subjected to variation in length of video will enhance. 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.

Sneha U.Agalawe, Prof. Nitin R. Chopde

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