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

J Zhao, X Jing, Z Yan, W Pedrycz - Information Fusion, 2021 - Elsevier
… Each tree is generated by iteratively splitting the nodes based on m variables randomly … to
split the nodes. After the forest is constructed, the proximity of each pair of nodes is calculated …

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

A Azab, M Khasawneh, S Alrabaee, KKR Choo… - Digital Communications …, 2024 - Elsevier
… This is fulfilled by applying QoS, which ensures a higher priority to the real-time applications'
traffic to be processed by the different network nodes. Various countries' regulations prohibit …

[HTML][HTML] Network traffic analysis through node behaviour classification: a graph-based approach with temporal dissection and data-level preprocessing

F Zola, L Segurola-Gil, JL Bruse, M Galar… - Computers & …, 2022 - Elsevier
… In this section, a novel methodology is presented, which converts network traffic classification
into node behaviour classification. In Section 3.1, the problems to be addressed and the …

Towards self adaptive network traffic classification

A Tongaonkar, R Torres, M Iliofotou… - Computer …, 2015 - Elsevier
network traffic classification that overcomes the above shortcomings by learning the application
signatures on the network … We can see that the starting node in the PTA has two outgoing …

Predictive traffic control and differentiation on smart grid neighborhood area networks

JPA Leon, FJ Rico-Novella, J Luis - IEEE access, 2020 - ieeexplore.ieee.org
… The second one delves into the need to offer an equitable distribution of network resources
among all traffic generating nodes [29]. In this work, a new congestion control mechanism …

Machine learning algorithms for accurate flow-based network traffic classification: Evaluation and comparison

M Soysal, EG Schmidt - Performance Evaluation, 2010 - Elsevier
… -based classification of six different types of Internet traffic including peer-to-peer (P2P) and
content delivery (Akamai) traffic. The dependency of the traffic classification performance on …

Encrypted network traffic classification and resource allocation with deep learning in software defined network

R Setiawan, RR Ganga, P Velayutham… - Wireless Personal …, 2022 - Springer
… identify which network node is busy, and the node is reallocated through this result automatically
as the pending requests are detected and make data transfer through another node to …

Network traffic classification using machine learning techniques over software defined networks

MR Parsaei, MJ Sobouti… - International Journal of …, 2017 - search.proquest.com
… architecture, representing the direction of the future network evolution. Accurate traffic
classification over SDN is of fundamental importance to numerous other network activities, from …

Industrial control system anomaly detection and classification based on network traffic

JR Jiang, YT Chen - IEEE Access, 2022 - ieeexplore.ieee.org
… in which each internal node represents a "check" of particular conditions on an attribute,
each branch represents the check outcome, and each leaf node represents a class label. …

A network traffic classification method based on graph convolution and lstm

Y Pan, X Zhang, H Jiang, C Li - IEEE Access, 2021 - ieeexplore.ieee.org
… Each node vi in the … n nodes, and each node in the graph belongs to a specific class.
According to the adjacency matrix and the nodes of known class, then the class to which the node