Optimizing Feature Selection for Efficient Encrypted Traffic Classification: A Systematic Approach

IEEE Network ◽  
2020 ◽  
Vol 34 (4) ◽  
pp. 20-27
Author(s):  
Meng Shen ◽  
Yiting Liu ◽  
Liehuang Zhu ◽  
Ke Xu ◽  
Xiaojiang Du ◽  
...  
Keyword(s):  
Feature Selection ◽  
Systematic Approach ◽  
Traffic Classification ◽  
Selection For ◽  
Encrypted Traffic

scholarly journals Effective Feature Selection for 5G IM Applications Traffic Classification

2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Muhammad Shafiq ◽  
Xiangzhan Yu ◽  
Asif Ali Laghari ◽  
Dawei Wang
Keyword(s):  
Feature Selection ◽  
Classification Accuracy ◽  
Statistical Test ◽  
Traffic Classification ◽  
Features Selection ◽  
Traffic Flows ◽  
Selection Algorithm ◽  
Feature Selection Algorithm ◽  
Wrapper Method ◽  
Selection For

Recently, machine learning (ML) algorithms have widely been applied in Internet traffic classification. However, due to the inappropriate features selection, ML-based classifiers are prone to misclassify Internet flows as that traffic occupies majority of traffic flows. To address this problem, a novel feature selection metric named weighted mutual information (WMI) is proposed. We develop a hybrid feature selection algorithm named WMI_ACC, which filters most of the features with WMI metric. It further uses a wrapper method to select features for ML classifiers with accuracy (ACC) metric. We evaluate our approach using five ML classifiers on the two different network environment traces captured. Furthermore, we also apply Wilcoxon pairwise statistical test on the results of our proposed algorithm to find out the robust features from the selected set of features. Experimental results show that our algorithm gives promising results in terms of classification accuracy, recall, and precision. Our proposed algorithm can achieve 99% flow accuracy results, which is very promising.

scholarly journals Edge Computing Intelligence Using Robust Feature Selection for Network Traffic Classification in Internet-of-Things

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 224059-224070
Author(s):  
Bushra Mohammed ◽  
Mosab Hamdan ◽  
Joseph Stephen Bassi ◽  
Haitham A. Jamil ◽  
Suleman Khan ◽  
...  
Keyword(s):  
Feature Selection ◽  
Internet Of Things ◽  
Network Traffic ◽  
Edge Computing ◽  
Traffic Classification ◽  
Network Traffic Classification ◽  
Selection For

Feature selection for optimizing traffic classification

2012 ◽  
Vol 35 (12) ◽  
pp. 1457-1471 ◽  
Author(s):  
Hongli Zhang ◽  
Gang Lu ◽  
Mahmoud T. Qassrawi ◽  
Yu Zhang ◽  
Xiangzhan Yu
Keyword(s):  
Feature Selection ◽  
Traffic Classification ◽  
Selection For

Chicken Algorithm Based Feature Selection For Arabic Information Searching System

2019 ◽  
pp. 389
Author(s):  
زينب عبدالأمير ◽  
علياء كريم عبدالحسن
Keyword(s):  
Feature Selection ◽  
Information Searching ◽  
Selection For
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