A traffic grouping method using the correlation model of network flow

Emergence of high-speed Internet and ubiquitous environment has led to a rapid increase of applications on the Internet and network traffic complexity. In order to provide reliable services and efficient management of network resources, it is essential to classify traffic with specific units. While various traffic classification methods are being studied, there is no single method to classify traffic completely yet. In this paper, we define the correlation model of network flow and propose a traffic grouping method based on it. The proposed correlation model of network flow for traffic grouping consists of the Similarity model and the Connectivity model. We define the Similarity model guideline and the Connectivity model guideline for the purpose of applying the proposed method effectively. By applying the proposed method to the actual application traffic classification, we demonstrate that the method has high accuracy and completeness.