[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 …

Blockchain and machine learning for communications and networking systems

Y Liu, FR Yu, X Li, H Ji… - … communications surveys & …, 2020 - ieeexplore.ieee.org
Recently, with the rapid development of information and communication technologies, the
infrastructures, resources, end devices, and applications in communications and networking …

[HTML][HTML] Machine learning: A catalyst for THz wireless networks

AAA Boulogeorgos, E Yaqub, M Di Renzo… - Frontiers in …, 2021 - frontiersin.org
With the vision to transform the current wireless network into a cyber-physical intelligent
platform capable of supporting bandwidth-hungry and latency-constrained applications, both …

[HTML][HTML] Network traffic classification based on federated semi-supervised learning

ZX Wang, ZY Li, MY Fu, YC Ye, P Wang - Journal of Systems Architecture, 2024 - Elsevier
Traffic Classification (TC) has been applied to a wide range of applications, from security
monitoring to quality of service (QoS) provisioning in network Internet Service Providers …

Pemanfaatan Machine Learning dengan Algoritma X-Means untuk Pemetaan Luas Panen, Produktivitas, dan Produksi Padi

I Hakim, M Rafid, F Anggraini - Building of Informatics …, 2022 - ejurnal.seminar-id.com
Rice plants are essential for the world, especially Indonesia because it is a rice-producing
plant that is useful as a staple food for its people. A decreased harvest area, production, and …

Intelligent and application-aware network traffic prediction in smart access gateways

J Zhang, F Ye, Y Qian - IEEE Network, 2020 - ieeexplore.ieee.org
Network measurement and management are critical to the future smart network QoS and
enhancing user QoE. Accurate prediction of network status can support network …

Analisis Klasifikasi Metode X-Means Pada Minat dan Bakat Anak Dimasa Pandemi

PH Putra, A Hasibuan… - SITEKIN: Jurnal Sains …, 2022 - ejournal.uin-suska.ac.id
Algoritma X-Means merupakan algoritma yang digunakan untuk pengelompokan data.
Algoritma x means merupakan pengembangan dari k-means. X-means clustering …

A novel approach for semi-supervised network traffic classification

Y Huo, C Song, M Zhou, R Lv… - 2022 IEEE 14th …, 2022 - ieeexplore.ieee.org
Network traffic classification is the basic block for network management services such as
network security and QoS control. When facing with the emergence of stronger encryption …

BehavSniffer: Sniff User Behaviors from the Encrypted Traffic by Traffic Burst Graphs

T Wu, X Xiao, Q Li, Q Liu, G Hu, X Luo… - 2023 20th Annual …, 2023 - ieeexplore.ieee.org
With the increasing popularity of encryption pro-tocols in application and the rapid
development of network applications, traffic classification has become a major challenge for …

[HTML][HTML] MoBiSea: A Binary Search Algorithm for Product Clustering in Industry 4.0

AC Herrero, JA Sanguesa, P Garrido, FJ Martinez… - Electronics, 2023 - mdpi.com
Proprietary systems used to modernize Industry 4.0 usually involve high financial costs.
Consequently, using low-cost devices with the same functionalities, capable of replacing …