A P2P Traffic Classification Method Based on SVM

2008 ◽  
Author(s):  
Zhou Xusheng
Keyword(s):  
Classification Method ◽  
Traffic Classification

A New Network Traffic Classification Method Based on Optimized Hadamard Matrix and ECOC-SVM

2014 ◽  
Vol 989-994 ◽  
pp. 1895-1900
Author(s):  
Hong Zhi Wang ◽  
Li Hui Yan
Keyword(s):  
Network Traffic ◽  
Classification Accuracy ◽  
Hadamard Matrix ◽  
Classification Method ◽  
Traffic Classification ◽  
Classification Methods ◽  
Computational Burden ◽  
Network Traffic Classification ◽  
Encrypted Traffic

The traditional network traffic classification methods have many shortcomings, the classification accuracy is not high, the encrypted traffic cannot be analyzed, and the computational burden is usually large. To overcome above problems, this paper presents a new network traffic classification method based on optimized Hadamard matrix and ECOC. Through restructuring the Hadamard matrix and erasing the interference rows and columns, the ECOC table is optimized while eliminating SVM sample imbalance, and the error correcting ability for classification is reserved. The experiments results show that the proposed method outperform in network traffic classification and improve the classification accuracy.

A Traffic-Classification Method Using the Correlation of the Network Flow

2017 ◽  
Vol 44 (4) ◽  
pp. 433-438
Author(s):  
YoungHoon Goo ◽  
Sungho Lee ◽  
Kyuseok Shim ◽  
Baraka D. Sija ◽  
MyungSup Kim
Keyword(s):  
Network Flow ◽  
Classification Method ◽  
Traffic Classification
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