Tfe-gnn: A temporal fusion encoder using graph neural networks for fine-grained encrypted traffic classification

H Zhang, L Yu, X Xiao, Q Li, F Mercaldo… - Proceedings of the ACM …, 2023 - dl.acm.org
Encrypted traffic classification is receiving widespread attention from researchers and
industrial companies. However, the existing methods only extract flow-level features, failing …

TCGNN: Packet-grained network traffic classification via Graph Neural Networks

G Hu, X Xiao, M Shen, B Zhang, X Yan, Y Liu - Engineering Applications of …, 2023 - Elsevier
Network traffic classification is the fundamental and vital function for network management,
network security and so on. With the traffic scenarios becoming more and more complex …

RBLJAN: Robust Byte-Label Joint Attention Network for Network Traffic Classification

X Xiao, S Wang, G Hu, Q Li, K Mao… - … on Dependable and …, 2024 - ieeexplore.ieee.org
Network traffic classification plays a crucial role in network management and cyberspace
security. As the Internet evolves with new applications and protocols, traditional machine …

Fast online classification of network traffic using new feature-embedded hierarchical structure

Y Quan, Y Dong, Y Xiang, S Chen, Z Wang, J Jin - Computer Networks, 2023 - Elsevier
The fast online classification (FOC) of network traffic plays a critical role in the network
resource management and quality of service support. However, traditional network flow …

Robust and Lightweight Modeling of IoT Network Behaviors from Raw Traffic Packets

A Pasquini, R Vasa, I Logothetis… - … Machine Learning in …, 2024 - ieeexplore.ieee.org
Machine Learning (ML)-based techniques are increasingly used for network management
tasks, such as intrusion detection, application identification, or asset management. Recent …

One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning

H Zhang, X Xiao, L Yu, Q Li, Z Ling, Y Zhang - arXiv preprint arXiv …, 2024 - arxiv.org
As network security receives widespread attention, encrypted traffic classification has
become the current research focus. However, existing methods conduct traffic classification …

ExpMD: an Explainable Framework for Traffic Identification Based on Multi-Domain Features

L Yang, Y Wang, L Liu, J Huang… - 2024 IEEE/ACM 32nd …, 2024 - ieeexplore.ieee.org
Network traffic identification has a significant impact on the QoS (Quality of Service) of
network. However, there are challenges in performing network traffic identification, including …