• According to recent studies, each video that is streamed online has its own unique characteristic. The pattern of data that are sent through the network can vary from one encoding method to another and the change from scene to scene, which is a unique characteristic of each video. This research aims to identify video content in the network without looking at the data itself.

This research would be especially useful in preventing illegal distribution of television program such as illegal channel without violating user privacy. Another application would be to prevent confidential online meeting from leaking outside local enterprise network. In addition, it is also possible to investigate the circulation of a video content using method introduced by this work.

• Video stream
• Content distribution
• Streaming
• Traffic monitoring
• Network security
• Pattern matching