Ongoing research on anomaly detection for the Internet of Things (IoT) is a rapidly
expanding field. This growth necessitates an examination of application trends and current …

The rapid spread of the Internet of Things (IoT) devices has prompted many people and
companies to adopt the IoT paradigm, as this paradigm allows the automation of several …

Heterogeneous cyberattacks against industrial control systems (ICSs) have had a strong
impact on the physical world in recent decades. Connecting devices to the internet enables …

Health monitoring systems (HMSs) capture of physiological measurements through
biosensors (sensing), obtain significant properties and measures from the output signal …

IoT (Internet of Things) usage in industrial and scientific domains is progressively increasing.
Currently, IoTs are utilized in numerous applications in different domains, similar to …

Detecting faults and anomalies in real-time industrial systems is a challenge due to the
difficulty of sufficiently covering an industrial system's complexity. Today, Industry 4.0 makes …

Anomaly detection in smart environments is important when dealing with rare events, which
can be safety-critical to individuals or infrastructure. Safety-critical means in this case, that …

Learning from class-imbalanced data is a tough task, which often leads classifiers to fail on
identifying the minority class. To balance the class ratio, synthetic minority oversampling …

This study aimed at improving the performance of classifiers when trained to identify
signatures of unknown attacks. Furthermore, this paper addresses the following …

As the Internet of Healthcare Things (IoHT) concept emerges today, Wireless Body Area
Networks (WBAN) constitute one of the most prominent technologies for improving …