Smart grids are rapidly replacing conventional networks on a worldwide scale. A smart grid
has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the …

This research introduces a theoretical framework for network anomaly detection in
cybersecurity, emphasizing the integration of adaptive machine learning models, ensemble …

Security in IoT networks is currently mandatory, due to the high amount of data that has to be
handled. These systems are vulnerable to several cybersecurity attacks, which are …

Detecting intrusion in network traffic has remained a problematic task for years. Progress in
the field of machine learning is paving the way for enhancing intrusion detection systems …

The rapid development of new information and communication technologies (ICTs) and the
deployment of advanced Internet of Things (IoT)-based devices has led to the study and …

Neural networks for classification aim at identifying the class label of new observation based
training data containing instances whose category memberships are known. Therefore the …

Cyberattacks are part of the continuous race, where research in computer science both
contributes to discovering new threats and vulnerabilities and also mitigates them. When …

An intelligent transportation system (ITS) provides improved transport efficiency and safety
based on vehicle communication. Connected and automated vehicles (CAVs) as part of an …

In the last decades, researchers, practitioners and companies struggled in devising
mechanisms to detect malicious activities originating security threats. Amongst the many …

The proliferation of IoT devices across sectors such as home automation, business,
healthcare, and transportation has led to the generation of vast amounts of sensitive data …