Intelligent Transport Systems (ITS) is a develo** technology that will significantly alter the
driving experience. In such systems, smart vehicles and Road-Side Units (RSUs) …

Detecting botnet threats has been an ongoing research endeavor. Machine Learning (ML)
techniques have been widely used for botnet detection with flow-based features. The prime …

Distributed Denial of Service (DDoS) is a predominant threat to the availability of online
services due to their size and frequency. However, develo** an effective security …

This study summarizes major literature reviews on machine learning systems for network
analysis and intrusion detection. Furthermore, it provides a brief lesson description of each …

The high costs incurred due to attacks and the increasing number of different devices in the
Internet of Things (IoT) highlight the necessity of the early detection of botnets (ie, a network …

As malicious bots reside in a network to disrupt network stability, graph neural networks
(GNNs) have emerged as one of the most popular bot detection methods. However, in most …

Among the different threats causing significant losses in cyberspace, the distributed denial of
service (DDoS) attack is one of the most dangerous. The literature shows that the most …

In recent times, the proliferation of Internet of Things (IoT) technology has brought a
significant shift in the digital transformation of various industries. The enabling technologies …

To prevent excessive strain on the electrical grid and avoid long waiting times of the electric
vehicle (EV) at charging stations, charging coordination mechanisms have been …

The extensive utilization of the Internet in everyday life can be attributed to the substantial
accessibility of online services and the growing significance of the data transmitted via the …