Accurate and timely traffic classification is critical in network security monitoring and traffic engineering. Traditional methods based on port numbers and protocols have proven t...
Abstract. The network measurement community has proposed multiple machine learning (ML) methods for traffic classification during the last years. Although several research works ha...
—Application level traffic classification is one of the major issues in network monitoring and traffic engineering. In our previous study, we proposed a new traffic classificatio...
Jae Yoon Chung, Byungchul Park, Young J. Won, John...
The early detection of applications associated with TCP flows is an essential step for network security and traffic engineering. The classic way to identify flows, i.e. looking at...
Traffic classification through Deep Packet Inspection (DPI) is considered extremely expensive in terms of processing costs, leading to the conclusion that this technique is not su...
Recent research on Internet traffic classification algorithms has yielded a flurry of proposed approaches for distinguishing types of traffic, but no systematic comparison of the ...
Hyunchul Kim, Kimberly C. Claffy, Marina Fomenkov,...
Accurate application traffic classification and identification are important for network monitoring and analysis. The accuracy of traditional Internet application traffic classific...
Byungchul Park, Young J. Won, Mi-Jung Choi, Myung-...
Accurate network traffic classification is an important task. We intend to develop an intelligent classification system by learning the types of service inside a network flow usin...
—Despite the importance of traffic classification in modern networks, the number of languages tailored to this task is extremely limited. These languages can be valuable, because...