While anomaly detection and the related concept of intrusion detection are widely studied,
detecting anomalies in new operating behavior in environments such as the Internet of …

Anomaly detection in network traffic is a hot and ongoing research theme especially when
concerning IoT devices, which are quickly spreading throughout various situations of …

Due to their rapid growth and deployment, the Internet of things (IoT) have become a central
aspect of our daily lives. Unfortunately, IoT devices tend to have many vulnerabilities which …

Over the past decade, blockchain technology has attracted a huge attention from both
industry and academia because it can be integrated with a large number of everyday …

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 industrial internet of things (IIoT) is an evolutionary extension of the traditional Internet of
Things (IoT) into processes and machines for applications in the industrial sector. The IIoT …

IIoT networks are different from general IT networks such as office or business networks
where multiple various types of applications, protocols and traffic profiles are presented, and …

Privacy has emerged as a top worry as a result of the development of zero-day hacks
because IoT devices produce and transmit sensitive information through the regular internet …

Due to their rapid growth and deployment, Internet of things (IoT) devices have become a
central aspect of our daily lives. However, they tend to have many vulnerabilities which can …

Machine learning models have long be proposed to detect the presence of unauthorized
activity within computer networks. They are used as anomaly detection techniques to detect …