Network communication has become a part of everyday life, and the interconnection among
devices and people will increase even more in the future. Nevertheless, prediction of Quality …

Network traffic prediction is essential and significant to network management and network
security. Existing prediction methods cannot well capture the temporal–spatial correlations …

Network traffic forecasting is an operational and management function that is critical for any
data network. It is even more important for IoT networks given the number of connected …

In this paper, we experiment with several different forecasting approaches for Internet traffic
and a scheme for their evaluation. First the existence of properties such as Short or Long …

The practice of predicting the traffic that is headed toward a specific website is known as
web traffic prediction. To govern a network, network traffic forecasting is crucial. Since clients …

In this paper, we introduce the integer-valued generalized autoregressive conditional
heteroscedasticity (INGARCH) as a network traffic prediction model. As the INGARCH is …

Telecom operators are aiming to provide high-grade data, multimedia applications and low
latency videos for smart devices. As today's mobile data is experiencing rapid growth and …

Traffic engineering with traffic prediction is a promising approach to accommodate time-
varying traffic without frequent route changes. In this approach, the routes are decided so as …

In recent years, Botnets have become an important security problem on the Internet. Botnets
have been used for many attacks, such as banking information theft, spam, distributed denial …

Accurate and real-time traffic flow forecasting plays an important role in optimizing traffic
routing enabling adaptive and sophisticated applications on the network. Managing and …