[HTML][HTML] Network traffic classification: Techniques, datasets, and challenges

A Azab, M Khasawneh, S Alrabaee, KKR Choo… - Digital Communications …, 2024 - Elsevier
In network traffic classification, it is important to understand the correlation between network
traffic and its causal application, protocol, or service group, for example, in facilitating lawful …

A review on machine learning–based approaches for Internet traffic classification

O Salman, IH Elhajj, A Kayssi, A Chehab - Annals of Telecommunications, 2020 - Springer
Traffic classification acquired the interest of the Internet community early on. Different
approaches have been proposed to classify Internet traffic to manage both security and …

Network traffic classifier with convolutional and recurrent neural networks for Internet of Things

M Lopez-Martin, B Carro, A Sanchez-Esguevillas… - IEEE …, 2017 - ieeexplore.ieee.org
A network traffic classifier (NTC) is an important part of current network monitoring systems,
being its task to infer the network service that is currently used by a communication flow (eg …

[HTML][HTML] Network traffic classification for data fusion: A survey

J Zhao, X Jing, Z Yan, W Pedrycz - Information Fusion, 2021 - Elsevier
Traffic classification groups similar or related traffic data, which is one main stream
technique of data fusion in the field of network management and security. With the rapid …

LITNET-2020: An annotated real-world network flow dataset for network intrusion detection

R Damasevicius, A Venckauskas, S Grigaliunas… - Electronics, 2020 - mdpi.com
Network intrusion detection is one of the main problems in ensuring the security of modern
computer networks, Wireless Sensor Networks (WSN), and the Internet-of-Things (IoT). In …

Botnet detection using graph-based feature clustering

S Chowdhury, M Khanzadeh, R Akula, F Zhang… - Journal of Big Data, 2017 - Springer
Detecting botnets in a network is crucial because bots impact numerous areas such as cyber
security, finance, health care, law enforcement, and more. Botnets are becoming more …

Application identification via network traffic classification

B Yamansavascilar, MA Guvensan… - 2017 International …, 2017 - ieeexplore.ieee.org
Recent developments in Internet technology have led to an increased importance of network
traffic classification. In this study, we used machine-learning methods for the identification of …

Service usage classification with encrypted internet traffic in mobile messaging apps

Y Fu, H Xiong, X Lu, J Yang… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
The rapid adoption of mobile messaging Apps has enabled us to collect massive amount of
encrypted Internet traffic of mobile messaging. The classification of this traffic into different …

Byte segment neural network for network traffic classification

R Li, X Xiao, S Ni, H Zheng, S Xia - 2018 IEEE/ACM 26th …, 2018 - ieeexplore.ieee.org
Network traffic classification, which can map network traffic to protocols in the application
layer, is a fundamental technique for network management and security issues such as …

Statistical application fingerprinting for DDoS attack mitigation

ME Ahmed, S Ullah, H Kim - IEEE Transactions on Information …, 2018 - ieeexplore.ieee.org
Because of the dynamic nature of network traffic patterns, such as new traffic application
arrivals or flash events, it is becoming increasingly difficult for conventional anomaly …