Accurate, scalable in-network identification of p2p traffic using application signatures

The ability to accurately identify the network traffic associated with different P2P applications is important to a broad range of network operations including application-specific traffic engineering, capacity planning, provisioning, service differentiation, etc. However, traditional traffic to higher-level application mapping techniques such as default server TCP or UDP network-port based disambiguation is highly inaccurate for some P2P applications. In this paper, we provide an efficient approach for identifying the P2P application traffic through application level signatures. We first identify the application level signatures by examining some available documentations, and packet-level traces. We then utilize the identified signatures to develop online filters that can efficiently and accurately track the P2P traffic even on high-speed network links. We examine the performance of our application-level identification approach using five popular P2P protocols. Our measurements show ...

• Type: Conference
• Year: 2004
• Where: WWW
• Authors: Subhabrata Sen, Oliver Spatscheck, Dongmei Wang
• Keywords: Internet Technology, P2P Application Traffic, P2P Traffic Volume, Popular Kazaa P2p, WWW 2004