@article{M6FE6E984,
title = "A Traffic-Classification Method Using the Correlation of the Network Flow",
journal = "Journal of KIISE, JOK",
year = "2017",
issn = "2383-630X",
doi = "",
author = "YoungHoon Goo,Kyuseok Shim,Sungho Lee,Baraka D. Sija,MyungSup Kim",
keywords = "traffic classification,correlation model of the network flow,similarity model,connectivity model,guideline",
abstract = "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."
}