Network Traffic Classification Using Ensemble Learning with Time Related Features

Muhammad Anwarul Azim; Tanvir and Mohammad Khairul Islam

doi:10.17781/p002674

Network Traffic Classification Using Ensemble Learning with Time Related Features

International Journal of New Computer Architectures and their Applications ◽

10.17781/p002674 ◽

2020 ◽

Vol 10 (2) ◽

pp. 23-31

Author(s):

Muhammad Anwarul Azim ◽

Tanvir and Mohammad Khairul Islam

Keyword(s):

Ensemble Learning ◽

Network Traffic ◽

Traffic Classification ◽

Network Traffic Classification

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Improved Network Traffic Classification Using Ensemble Learning

2019 IEEE Symposium on Computers and Communications (ISCC) ◽

10.1109/iscc47284.2019.8969637 ◽

2019 ◽

Cited By ~ 2

Author(s):

Isadora P. Possebon ◽

Anderson S. Silva ◽

Lisandro Z. Granville ◽

Alberto Schaeffer-Filho ◽

Angelos Marnerides

Keyword(s):

Ensemble Learning ◽

Network Traffic ◽

Traffic Classification ◽

Network Traffic Classification

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Network Traffic Classification Using Ensemble Learning in Software-Defined Networks

2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) ◽

10.1109/icaiic51459.2021.9415187 ◽

2021 ◽

Author(s):

Won-Ju Eom ◽

Yeong-Jun Song ◽

Chang-Hoon Park ◽

Jeong-Keun Kim ◽

Geon-Hwan Kim ◽

...

Keyword(s):

Ensemble Learning ◽

Network Traffic ◽

Traffic Classification ◽

Software Defined Networks ◽

Network Traffic Classification

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Research of Network Traffic Classification Based on Ensemble Learning

10.1109/iccse51940.2021.9569668 ◽

2021 ◽

Author(s):

Fan Jiang ◽

Chunzhi Wang ◽

Lingyu Yan ◽

Zhenguo Li

Keyword(s):

Ensemble Learning ◽

Network Traffic ◽

Traffic Classification ◽

Network Traffic Classification

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Encrypted Network Traffic Classification using Ensemble Learning Techniques

10.22215/etd/2020-14171 ◽

2020 ◽

Author(s):

ThankGod Obasi

Keyword(s):

Ensemble Learning ◽

Network Traffic ◽

Traffic Classification ◽

Learning Techniques ◽

Network Traffic Classification

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Network traffic classification based on ensemble learning and co-training

Science in China Series F Information Sciences ◽

10.1007/s11432-009-0050-8 ◽

2009 ◽

Vol 52 (2) ◽

pp. 338-346 ◽

Cited By ~ 6

Author(s):

HaiTao He ◽

XiaoNan Luo ◽

FeiTeng Ma ◽

ChunHui Che ◽

JianMin Wang

Keyword(s):

Ensemble Learning ◽

Network Traffic ◽

Traffic Classification ◽

Network Traffic Classification

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Adversarial Network Traffic: Towards Evaluating the Robustness of Deep-Learning-Based Network Traffic Classification

IEEE Transactions on Network and Service Management ◽

10.1109/tnsm.2021.3052888 ◽

2021 ◽

Vol 18 (2) ◽

pp. 1962-1976

Author(s):

Amir Mahdi Sadeghzadeh ◽

Saeed Shiravi ◽

Rasool Jalili

Keyword(s):

Deep Learning ◽

Network Traffic ◽

Traffic Classification ◽

Adversarial Network ◽

Network Traffic Classification

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Packet Vision: a convolutional neural network approach for network traffic classification

2020 33rd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) ◽

10.1109/sibgrapi51738.2020.00042 ◽

2020 ◽

Author(s):

Rodrigo Moreira ◽

Larissa Ferreira Rodrigues ◽

Pedro Frosi Rosa ◽

Rui L. Aguiar ◽

Flavio de Oliveira Silva

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Network Traffic ◽

Traffic Classification ◽

Network Approach ◽

Neural Network Approach ◽

Network Traffic Classification

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Multi Class SVM Algorithm with Active Learning for Network Traffic Classification

Expert Systems with Applications ◽

10.1016/j.eswa.2021.114885 ◽

2021 ◽

pp. 114885

Author(s):

Shi Dong

Keyword(s):

Active Learning ◽

Network Traffic ◽

Traffic Classification ◽

Svm Algorithm ◽

Network Traffic Classification

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Network traffic classification via HMM under the guidance of syntactic structure

Computer Networks ◽

10.1016/j.comnet.2012.01.021 ◽

2012 ◽

Vol 56 (6) ◽

pp. 1814-1825 ◽

Cited By ~ 6

Author(s):

ChengGuo Yin ◽

ShuangQing Li ◽

Qi Li

Keyword(s):

Network Traffic ◽

Syntactic Structure ◽

Traffic Classification ◽

Network Traffic Classification

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A novel network traffic classification approach via discriminative feature learning

Proceedings of the 35th Annual ACM Symposium on Applied Computing ◽

10.1145/3341105.3373844 ◽

2020 ◽

Author(s):

Lixin Zhao ◽

Lijun Cai ◽

Aimin Yu ◽

Zhen Xu ◽

Dan Meng

Keyword(s):

Network Traffic ◽

Feature Learning ◽

Traffic Classification ◽

Classification Approach ◽

Discriminative Feature ◽

Network Traffic Classification

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