Study on traffic classification taxonomy for multilateral and hierarchical traffic classification

Abstract

Internet traffic has rapidly increased due to the increasing use of wireless devices and the appearance of various applications and services. With the rapid increase of Internet traffic, the need for Internet traffic classification becomes important for the effective use of network resources. However, the traffic classification taxonomy has received little attention compared to the study of classification methods. In this paper, we propose novel traffic classification taxonomy for multilateral and hierarchical traffic identification. The proposed taxonomy can support multilateral identification based on the proposed four classification criteria: service, application, protocol, and function. In addition, the proposed taxonomy can support hierarchical structure supporting roll-up and drill-down operation to the classification result. We proved the applicability and advantages of the proposed taxonomy by applying it to real campus network traffic.