Á¤º¸°úÇÐȸ³í¹®Áö (Journal of KIISE)
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ÇѱÛÁ¦¸ñ(Korean Title) |
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¿µ¹®Á¦¸ñ(English Title) |
A Traffic-Classification Method Using the Correlation of the Network Flow |
ÀúÀÚ(Author) |
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Baraka D. Sija
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YoungHoon Goo
Sungho Lee
Kyuseok Shim
Baraka D. Sija
MyungSup Kim
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¿ø¹®¼ö·Ïó(Citation) |
VOL 44 NO. 04 PP. 0433 ~ 0438 (2017. 04) |
Çѱ۳»¿ë (Korean Abstract) |
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¿µ¹®³»¿ë (English 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 trafficclassification 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.
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Å°¿öµå(Keyword) |
Æ®·¡ÇÈ ºÐ·ù
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À¯»ç¼º ¸ðµ¨
¿¬°á¼º ¸ðµ¨
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traffic classification
correlation model of the network flow
similarity model
connectivity model
guideline
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