Accurate and real-time network traffic prediction is of paramount importance in the fields of
network management, performance optimization, and fault diagnosis. It provides strong …

Traffic Matrix (TM) clearly describes the volume and the distribution of traffic flows inside a
network. TM plays an important role in many network management fields, such as traffic …

Traffic flow forecasting is hot spot research of intelligent traffic system construction. The
existing traffic flow prediction methods have problems such as poor stability, high data …

With the increase of motor vehicles and tourism demand, some traffic problems gradually
appear, such as traffic congestion, safety accidents and insufficient allocation of traffic …

Network digital twin, as a fundamental enabling technology in emerging network scenarios
and applications, establishes a connection between the physical and virtual networks …

With the rapid development of the Internet, the scale of the network continues to expand, and
the situation of network security is getting more and more severe. Network security requires …

In the mobile network, building a prediction based network traffic model is of great
significance for mobile network optimization, so that the operators is able to schedule the …

Detection of abnormal internet traffic has become a significant area of research in network
security. Due to its importance, many predictive models are designed by utilizing machine …

Short-term traffic flow prediction is not only related to historical data, but also affected by the
traffic of adjacent areas. Since the trend and spatial correlation of traffic flow are ignored by …

Accurate prediction of data traffic in telecom network is a challenging task for a better
network management. It advances dynamic resource allocation and power management …