TY  - JOUR
T1  - A Traffic-Classification Method Using the Correlation of the Network Flow
AU  - Goo, YoungHoon 
AU  - Shim, Kyuseok 
AU  - Lee, Sungho 
AU  - Sija, Baraka D. 
AU  - Kim, MyungSup 
JO  - Journal of KIISE, JOK
PY  - 2017
DA  - 2017/1/14
DO  - 
KW  - traffic classification
KW  - correlation model of the network flow
KW  - similarity model
KW  - connectivity model
KW  - guideline
AB  - Presently, the ubiquitous emergence of high-speed-network environments has led to a rapid increase of various applications, leading to constantly complicated network traffic. To manage networks efficiently, the traffic classification of specific units is essential. While various traffic-classification methods have been studied, a methods for the complete classification of network traffic has not yet been developed. In this paper, a correlation model of the network flow is defined, and a traffic-classification method for which this model is used is proposed. The proposed network-correlation model for traffic classification consists of a similarity model and a connectivity model. Suggestion for the effectiveness of the proposed method is demonstrated in terms of accuracy and completeness through experiments.