The emergence and continued reliance on the Internet and related technologies has
resulted in the generation of large amounts of data that can be made available for analyses …

The recent upsurge of smart cities' applications and their building blocks in terms of the
Internet of Things (IoT), Artificial Intelligence (AI), federated and distributed learning, big data …

Previous studies have adopted unsupervised machine learning with dimension reduction
functions for cyberattack detection, which are limited to performing robust anomaly detection …

In recent years, many methods for intrusion detection systems (IDS) have been designed
and developed in the research community, which have achieved a perfect detection rate …

In recent years, with the increasing popularity of “Smart Technology”, the number of Internet
of Things (IoT) devices and systems have surged significantly. Various IoT services and …

With the wide spread of sensors and smart devices in recent years, the data generation
speed of the Internet of Things (IoT) systems has increased dramatically. In IoT systems …

Nowadays, hackers take illegal advantage of distributed resources in a network of
computing devices (ie, botnet) to launch cyberattacks against the Internet of Things (IoT) …

Spam represents a genuine irritation for email users, since it often disturbs them during their
work or free time. Machine learning approaches are commonly utilized as the engine of …

Feature selection and hyper-parameters optimization (tuning) are two of the most important
and challenging tasks in machine learning. To achieve satisfying performance, every …

In the dynamic landscape of cyber threats, multistage malware botnets have surfaced as
significant threats of concern. These sophisticated threats can exploit Internet of Things (IoT) …