A Network Traffic Classification Method Based on Hierarchical Clustering

2020 ◽  
pp. 449-458
Author(s):  
Yong Ma ◽  
Yang Hu ◽  
Chang Cai
Keyword(s):  
Hierarchical Clustering ◽  
Network Traffic ◽  
Classification Method ◽  
Traffic Classification ◽  
Network 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.

An Effective Network Traffic Classification Method with Unknown Flow Detection

2013 ◽  
Vol 10 (2) ◽  
pp. 133-147 ◽  
Author(s):  
Jun Zhang ◽  
Chao Chen ◽  
Yang Xiang ◽  
Wanlei Zhou ◽  
A. V. Vasilakos
Keyword(s):  
Network Traffic ◽  
Classification Method ◽  
Traffic Classification ◽  
Network Traffic Classification ◽  
Effective Network ◽  
Flow Detection
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