[PDF][PDF] Applying machine learning approaches for network traffic forecasting

S Prajam, C Wechtaisong, AA Khan - Indian Journal of Computer Science …, 2022 - ijcse.com
In the era of the digital world. The communication and the use the internet is an important
role in today's society. As a result, the number of users networks traffic increases but not …

Machine learning model for classification of iot network traffic

SP Khedkar, R AroulCanessane - … on I-SMAC (IoT in Social …, 2020 - ieeexplore.ieee.org
In today's world, it becomes very important to improve network security as well as the quality
of service (QoS). Internets of Things (IoT) with machine learning techniques are used to …

Research on malicious TLS traffic identification based on hybrid neural network

F Jie - 2020 International Conference on Advance in Ambient …, 2020 - ieeexplore.ieee.org
In this paper, the method of the hybrid neural network is used to identify malicious TLS traffic,
and the network traffic anomaly detection algorithm based on logistic regression and …

Mode decomposition based deep learning model for multi-section traffic prediction

K Pholsena, L Pan, Z Zheng - World Wide Web, 2020 - Springer
Road traffic prediction plays a vital role in real-time traffic management of an intelligent
transportation system (ITS). Many prediction models achieve fine results. However, most …

Traffic prediction based on ensemble machine learning strategies with bagging and lightgbm

H Xia, X Wei, Y Gao, H Lv - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
With the development of mobile networks, one of the main challenges is performing accurate
prediction in order to maximize resource usage, saving energy and improving quality of …

Content-aware network traffic prediction framework for quality of service-aware dynamic network resource management

WA Aziz, I Ioannou, M Lestas, HK Qureshi… - IEEE …, 2023 - ieeexplore.ieee.org
Next-generation mobile networks, such as Fifth-Generation (5G), and Sixth-Generation (6G)
are envisioned to undergo an unprecedented transformation from connected things to …

Network traffic anomaly detection based on information gain and deep learning

X Lu, P Liu, J Lin - Proceedings of the 2019 3rd International Conference …, 2019 - dl.acm.org
With the rapid development of the Internet, the network traffic shows an explosive growth
trend. Although the Internet facilitates people's lives, it also brings a lot of security threats …

Network traffic classification using deep learning networks and Bayesian data fusion

S Izadi, M Ahmadi, A Rajabzadeh - Journal of Network and Systems …, 2022 - Springer
The rapid growth of current computer networks and their applications has made network
traffic classification more important. The latest approach in this field is the use of deep …

NTAM-LSTM models of network traffic prediction

J Zhao, X He - MATEC Web of Conferences, 2022 - matec-conferences.org
Accurate prediction of network traffic is very important in allocating network resources. With
the rapid development of network technology, network traffic becomes more complex and …

Deep learning for IoT traffic prediction based on edge computing

AR Abdellah, V Artem, A Muthanna… - … , DCCN 2020, Moscow …, 2020 - Springer
The 5G network is the latest wireless mobile communication technology. Nowadays, the
emerging of many network applications has led to a massive amount of network traffic. Many …