2009 17th IEEE International Conference on Network Protocols (2009)
Princeton, NJ USA
Oct. 13, 2009 to Oct. 16, 2009
With the increasing volume of VoIP, IPTV, and other real-time traffic on the Internet in recent years, service providers and operators demand tools to effectively detect and manage such traffic in their networks. However, many such applications are not easy to detect by using conventional approaches based on packet header and payload inspections since they may use random ports and data encryption. In this paper, we propose a simple yet effective approach that can detect constant or near constant rate traffic based on statistical inference on packet timing behaviors. Through experiments with traffic collected from both lab controlled environment and actual field networks, we show that this approach is easier to implement and has much better performance compared to existing approaches.
telecommunication traffic, cryptography, Internet telephony, IPTV, multimedia communication, packet timing, on-line detection, real time multimedia traffic, VoIP, IPTV, service providers, network traffic, packet header, payload inspections, random ports, data encryption, statistical inference, Telecommunication traffic, Communication system traffic control, Streaming media, Detection algorithms, Codecs, Machine learning, IPTV, IP networks, Web and internet services, Payloads
"On-line detection of real time multimedia traffic," 2009 17th IEEE International Conference on Network Protocols(ICNP), Princeton, NJ USA, 2009, pp. 223-232.