Machine learning (ML) allows the Internet of Things (IoT) to gain hidden insights from the
treasure trove of sensed data and be truly ubiquitous without explicitly looking for knowledge …

Cyberattacks can trigger power outages, military equipment problems, and breaches of
confidential information, ie, medical records could be stolen if they get into the wrong hands …

Smart homes, leveraging IoT technology to interconnect various devices and appliances to
the internet, enable remote monitoring, automation, and control. However, collecting …

Industry 5.0, also known as the “smart factory”, is an evolution of manufacturing technology
that utilizes advanced data analytics and machine learning techniques to optimize …

Whether it is used for predictive maintenance, intrusion detection or surveillance, on-device
anomaly detection is a very valuable functionality in sensor and Internet-of-things (IoT) …

Clean air in cities improves our health and overall quality of life and helps fight climate
change and preserve our environment. High-resolution measures of pollutants' …

Abstract The Internet of Things (IoT) contains many smart devices that collect, store,
communicate, and process data. IoT implementation has performed novel opportunities in …

The rapid development in manufacturing industries due to the introduction of IIoT devices
has led to the emergence of Industry 4.0 which results in an industry with intelligence …

This paper concerns cybersecurity issues in one of the fastest growing fields of modern
computer systems the Internet-of-Things (IoT). In this field, intrusion detection plays a …

With its exponential growth, the Internet of Things (IoT) has produced unprecedented levels
of connectivity and data. Anomaly detection is a security feature that identifies instances in …