Internet of Things (IoT) is an instantly exacerbated communication technology that is
manifesting miraculous effectuation to revolutionize conventional means of network …

Online real-time traffic flow prediction typically offers better real-time performance than
offline prediction. However, existing studies rarely discussed online real-time traffic flow …

Abstract The Internet of Things (IoT) provides a major contribution to the innovation of smart
manufacturing and industrial automation. Due to IoT, network devices and intelligent …

Vehicular Ad-Hoc Networks (VANETs), as the crucial support of Intelligent Transportation
Systems (ITS), have received great attention in recent years. With the rapid development of …

Distributed computing continuum systems (DCCS) make use of a vast number of computing
devices to process data generated by edge devices such as the Internet of Things and …

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

Industrial Internet of Things (IIoT) generates a massive of mixed traffic, which shares the
same bottlenecked network resource. The burst of flows having heavy-tailed property …

Traffic matrix (TM) prediction methods aim to accurately and efficiently predict future network
traffic demands by using previous traffic matrices. These methods are critical for network …

Many network operations depend on traffic matrix (TM). However, how to obtain TM often
turns out as a dilemma, ie, direct measurements have a high accuracy but with a high …

Link Flooding Attack (LFA) is a new genre of DDoS attacks that aims to isolate the target
area by paralyzing the critical links. To defend against LFA, we propose a novel LFA …