[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 …
traffic and its causal application, protocol, or service group, for example, in facilitating lawful …
Blockchain and machine learning for communications and networking systems
Recently, with the rapid development of information and communication technologies, the
infrastructures, resources, end devices, and applications in communications and networking …
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 …
platform capable of supporting bandwidth-hungry and latency-constrained applications, both …
[HTML][HTML] Network traffic classification based on federated semi-supervised learning
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 …
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 …
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
Network measurement and management are critical to the future smart network QoS and
enhancing user QoE. Accurate prediction of network status can support network …
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 …
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 …
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
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 …
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
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 …
Consequently, using low-cost devices with the same functionalities, capable of replacing …