Analysis and prediction of network traffic has applications in wide comprehensive set of
areas and has newly attracted significant number of studies. Different kinds of experiments …

Network traffic prediction has become an important means for network security monitoring
and security assessment. Through network traffic prediction, it can detect network failures …

Network traffic matrix prediction is a methodology of predicting network traffic behavior
ahead of time in order to improve network management and planning. Different neural …

Network traffic prediction aims at predicting the subsequent network traffic by using the
previous network traffic data. This can serve as a proactive approach for network …

Nowadays, due to the exponential and continuous expansion of new paradigms such as
Internet of Things (IoT), Internet of Vehicles (IoV) and 6G, the world is witnessing a …

Network traffic forecasting provides key information for network management, resource
allocation, traffic attack detection. However, traditional linear and non-linear network traffic …

Accurate prediction of network traffic is an important premise in network management and
congestion control. In order to improve the prediction accuracy of network traffic, a prediction …

As the network sizes continue to increase, network traffic grows exponentially. In this
situation, how to accurately predict network traffic to serve customers better has become one …

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 …

This paper compares four different artificial neural network approaches for computer network
traffic forecast, such as: 1) multilayer perceptron (MLP) using the backpropagation as …