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 …

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 …

Wireless Sensor Networks (WSNs) are important and necessary platforms for the future as
the concept “Internet of Things” has emerged lately. They are used for monitoring, tracking …

Abstract Advanced Machine Learning (ML) algorithms can be applied using Edge
Computing (EC) to detect anomalies, which is the basis of Artificial Intelligence of Things …

IoT technologies is improving life quality by enhancing several real-life smart applications.
IoT includes large number of devices generating huge amount of data which needs large …

Wireless sensor networks (WSN) are fundamental to the Internet of Things (IoT) by bridging
the gap between the physical and the cyber worlds. Anomaly detection is a critical task in …

The detection of anomalies in data is a far-reaching field of research which also applies to
the field of cloud computing in several different ways: from the detection of various types of …

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 …

Many anomaly detection techniques have been adopted by Industrial Internet of Things
(IIoT) for improving self-diagnosing efficiency and infrastructures security. However, they are …