P2P traffic classification in encrypted tunnels

In recent years, users have begun using encrypted tunnels to transport data in order to protect transmitted messages. However, it is very difficult for network engineers to manage the quality of network traffic in encrypted tunnels. Therefore, the issue of how to classify encrypted tunnels becomes more important and it has been studied so far. However, these studies are usually based on the assumption that encrypted tunnels include only one application traffic. In fact, encrypted tunnels may include more than one kind of application traffic. Therefore, this paper proposes a solution to identify whether encrypted tunnels include one specific P2P application traffic or more. In addition, our proposed system can be trained by plain-text traffic. In the experimental results, the system can accurately classify encrypted tunnels when they include more than one kinds of application traffic.