The internet of things (IoT) is the networking of interrelated devices and sensors connected
through the internet to transfer and share data. The data gathered from these devices may …

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 …

Machine learning (ML) and deep learning (DL), in particular, are common tools for anomaly
detection (AD). With the rapid increase in the number of Internet-connected devices, the …

Anomaly detection/prediction is the first step to secure IoT systems. It usually relies on wide
domain knowledge to build up the tools to automatically detect/predict abnormal events or …

The fourth industrial revolution (Industry 4.0) has the potential to provide real-time, secure,
and autonomous manufacturing environments. The Industrial Internet of Things (IIoT) is a …

The Internet of Things (IoT) consists of a massive number of smart devices capable of data
collection, storage, processing, and communication. The adoption of the IoT has brought …

Anomaly detection has attracted considerable attention from the research community in the
past few years due to the advancement of sensor monitoring technologies, low-cost …

The Internet of Things (IoT) has been deployed in diverse critical sectors with the aim of
improving quality of service and facilitating human lives. The IoT revolution has redefined …

Abstract Internet of Things (IoT) systems have become an intrinsic technology in various
industries and government services. Unfortunately, IoT devices and networks are known to …

This research paper delves into the security concerns within Internet of Things (IoT)
networks, emphasizing the need to safeguard the extensive data generated by …