The rise of traffic classification in IoT networks: A survey

H Tahaei, F Afifi, A Asemi, F Zaki, NB Anuar - Journal of Network and …, 2020 - Elsevier
With the proliferation of the Internet of Things (IoT), the integration and communication of
various objects have become a prevalent practice. The huge growth of IoT devices and …

CCTSDB 2021: a more comprehensive traffic sign detection benchmark

J Zhang, X Zou, LD Kuang, J Wang… - Human-centric …, 2022 - centaur.reading.ac.uk
Traffic signs are one of the most important information that guide cars to travel, and the
detection of traffic signs is an important component of autonomous driving and intelligent …

[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 …

Procedures, criteria, and machine learning techniques for network traffic classification: a survey

MS Sheikh, Y Peng - IEEE Access, 2022 - ieeexplore.ieee.org
Traffic classification is considered an important research area due to the increasing demand
in network users. It not only effectively improve the network service identifications and …

Revisiting of peer-to-peer traffic: taxonomy, applications, identification techniques, new trends and challenges

MSA Ansari, K Pal, MC Govil - Knowledge and Information Systems, 2023 - Springer
The services provided through peer-to-peer (P2P) architecture involve the transmission of
text, images, documents, and multimedia. Especially the distribution of multimedia content …

[HTML][HTML] Multi-level P2P traffic classification using heuristic and statistical-based techniques: a hybrid approach

M Bhatia, V Sharma, P Singh, M Masud - Symmetry, 2020 - mdpi.com
Peer-to-peer (P2P) applications have been popular among users for more than a decade.
They consume a lot of network bandwidth, due to the fact that network administrators face …

Deep transfer learning-based network traffic classification for scarce dataset in 5G IoT systems

J Guan, J Cai, H Bai, I You - … Journal of Machine Learning and Cybernetics, 2021 - Springer
Abstract Internet of Things (IoT) can provide the interconnection and data sharing among
devices, vehicles, buildings via various sensors with the development of 5G, and it has been …

Ensemble-based deep learning model for network traffic classification

O Aouedi, K Piamrat, B Parrein - IEEE Transactions on Network …, 2022 - ieeexplore.ieee.org
Network Traffic Classification enables a number of practical applications ranging from
network monitoring to resource management, with security implications as well. Nowadays …

An accurate traffic classification model based on support vector machines

J Cao, Z Fang, G Qu, H Sun… - International Journal of …, 2017 - Wiley Online Library
Network traffic classification is a fundamental research topic on high‐performance network
protocol design and network operation management. Compared with other state‐of‐the‐art …

Traffic classification of user behaviors in tor, i2p, zeronet, freenet

Y Hu, F Zou, L Li, P Yi - … on trust, security and privacy in …, 2020 - ieeexplore.ieee.org
In recent years, more and more anonymous network have been developed. Since user's
identity is difficult to trace in anonymous networks, many illegal activities are carried out in …