In recent years, the rapid growth of the Internet of Things (IoT) has raised concerns about the
security and reliability of IoT systems. Anomaly detection is vital for recognizing potential …

The exponential growth of Internet of Things (IoT) systems inspires new research directions
on developing artificial intelligence (AI) techniques for detecting anomalies in these IoT …

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 …

IoT comprises sensors and other small devices interconnected locally and via the Internet.
Typical IoT devices collect data from the environment through sensors, analyze it and act …

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 increasing adoption of the Internet of Things (IoT) technology in various fields like smart
home appliances, smart grids, health care systems etc., is transforming the way we live and …

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

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 field of Explainable Artificial Intelligence (XAI) has garnered considerable research
attention in recent years, aiming to provide interpretability and confidence to the inner …

Abstract The Internet of Things (IoT) is a technological innovation that has revolutionized
society. The IoT will forever change the way we use simple things that do very little things to …