[PDF][PDF] An enhanced self-learning-based clustering scheme for real-time traffic data distribution in wireless networks

A Jain, T Mehrotra, A Sisodia, S Vishnoi, S Upadhyay… - Heliyon, 2023 - cell.com
The process of examining the data flow over the internet to identify abnormalities in wireless
network performance is known as network traffic analysis. When analyzing network traffic …

Feature selection and dynamic network traffic congestion classification based on machine learning for Internet of Things

A Elngar, A Burlea-Schiopoiu - Wasit Journal of Computer and …, 2023 - wjcm.uowasit.edu.iq
The network traffic congestion classifier is essential for network monitoring systems. Network
traffic characterization is a methodology to classify traffic into several classes supporting …

Slic: Self-learning intelligent classifier for network traffic

DM Divakaran, L Su, YS Liau, VLL Thing - Computer Networks, 2015 - Elsevier
Internet traffic classification plays an important role in the field of network security and
management. Past research works utilize flow-level statistical features for accurate and …

A comparison of supervised machine learning algorithms for classification of communications network traffic

P Perera, YC Tian, C Fidge, W Kelly - … 14-18, 2017, Proceedings, Part I 24, 2017 - Springer
Automated network traffic classification is a basic requirement for managing Quality of
Service in communications networks. This research compares the performance of six widely …

A neuro‐evolutionary approach for software defined wireless network traffic classification

B Pradhan, MW Hussain, G Srivastava… - IET …, 2022 - Wiley Online Library
Accurate network traffic classification is an essential and challenging issue for wireless
network management and survivability. Existing network traffic classification algorithms, on …

An optimized K-means clustering for improving accuracy in traffic classification

S Zhao, Y Xiao, Y Ning, Y Zhou, D Zhang - Wireless personal …, 2021 - Springer
With the explosive grown network traffic, the traditional port-and payload-based methods are
insatiable for the requirements of privacy protection as well as the fast real-time classification …

[PDF][PDF] Towards a flow-based internet traffic classification for bandwidth optimization

AB Mohd, S bin Mohd Nor - International Journal of Computer Science and …, 2009 - Citeseer
The evolution of the Internet into a large complex service-based network has posed
tremendous challenges for network monitoring and control in terms of how to collect the …

Improved network traffic classification using ensemble learning

IP Possebon, AS Silva, LZ Granville… - … IEEE symposium on …, 2019 - ieeexplore.ieee.org
Despite the large number of research efforts that applied specific machine learning
algorithms for network traffic classification, recent work has highlighted limitations and …

Information entropy based clustering method for unsupervised internet traffic classification

J Yuan, Z Li, R Yuan - 2008 IEEE International conference on …, 2008 - ieeexplore.ieee.org
In this paper, we develop an unsupervised machine learning method for network traffic
classification. First, the traffic flows from active hosts are separated into different clusters by …

Recent advancement in machine learning based internet traffic classification

N Namdev, S Agrawal, S Silkari - Procedia Computer Science, 2015 - Elsevier
With the advancement of technology and communication system, use of internet is giving at
a tremendous role. This causes an exponential growth of data and traffic over the internet …