… study to detect the most active research areas and … of methods and techniques based on
the concepts previously published. For example, it should be noted that community detection …

… computer network, while metropolitan area networks (MAN) are the most common type of
wide area network (… This paper offers a detection method for DDoS assaults in SDN in order to …

… (FDL) method for zero-day botnet attack detection to avoid data privacy leakage in IoT-edge
devices. In this method, an optimal deep neural network (DNN) architecture is employed for …

… devices to create wide-scale malicious botnets. These are literally “networks of bots,” ie,
compromised computing devices … It provides a number of features for probing computer networks…

… security in mind, making them vulnerable to a wide variety of malware. In these scenarios,
traditional AI-based detection approaches are not suitable due to the impossibility of training …

… propose for community detection methods under consideration. In Section 5, we discuss
the most popular datasets and quality measures for evaluation of community detection results. …

… These devices are more and more going to connect to nonterrestrial, cellular, and wide
area networks. Furthermore, 6G IoT may include uses cases that are not captured by the 5G …

… network bandwidth when the massive data are transmitted to the cloud across the wide area
network (… of the traffic flow detection algorithm implemented on the edge device Jetson TX2. …

… of network threats from IoT networks and their devices with … of low-rate wireless personal
area networks (LR-WPANs). It … as a neighbor to many nodes, even the complete network by …

… of future networks demands proactive threats discovery, … to wide area network security would
be a better approach in 6G… approach in future networks for resourceconstrained devices. In …