Encrypted Internet Traffic Classification Method based on Host Behavior
Chengjie Gu, Shunyi Zhang, Xiaozhen Xue · International Journal of Digital Content Technology and its Applications · 2011
Accurate network traffic classification plays important roles in many areas such as traffic engineering, QoS and intrusion detection etc. Encrypted Peer-to-Peer (P2P) applications have dramatically grown in popularity over the past few years, and now constitute a significant share of the total traffic in many networks. To solve the drawback of the previous classification scheme for encrypted network traffic, we propose an encrypted Internet traffic classification method based on host behavior. Experiment results illustrate this method can classify encrypted traffic using sourcedestination IP pairs and connection characteristics with high accuracy and faster computational time.