The internet has unlocked a whole new universe. It has no bounds and provides individuals
with tremendous economic prospects all throughout the world. People can live better lives …

The Internet of Things (IoT) is transforming how we live and work, and its applications are
widespread, spanning smart homes, industrial monitoring, smart cities, healthcare …

Companies seek to promote a swift digitalization of their business processes and new
disruptive features to gain an advantage over their competitors. This often results in a wider …

The increase in network attacks has necessitated the development of robust and efficient
intrusion detection systems (IDS) capable of identifying malicious activities in real-time. In …

The purpose of malicious traffic detection and identification in the Internet of Things (IoT) is
to detect the intrusion of malicious traffic within the IoT network into IoT devices. Detection …

The challenges in citywide traffic flow are intricate, encompassing various factors like
temporal and spatial dependencies, holidays, and weather. Despite the complexity, there …

The rapid development of cloud–fog–edge computing and mobile devices has led to
massive amounts of data being generated. Also, artificial intelligence technology, like …

An enterprise's private cloud may be attacked by attackers when communicating with the
public cloud. Although traffic detection methods based on deep learning have been widely …

Deep learning solutions are instrumental in cybersecurity, harnessing their ability to analyze
vast datasets, identify complex patterns, and detect anomalies. However, malevolent actors …

In recent years, computer networks have seen a considerable proliferation in terms of
performance and total traffic volume. At the same time, cyber attacks have been on the rise …