The Internet of Things (IoT) revitalizes the world with tremendous capabilities and potential
to be utilized in vehicular networks. The Smart Transport Infrastructure (STI) era depends …

Intrusion detection (ID) is critical in securing computer networks against various malicious
attacks. Recent advancements in machine learning (ML), deep learning (DL), federated …

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 …

Recently, there has been considerable growth in the internet of things (IoT)-based
healthcare applications; however, they suffer from a lack of intrusion detection systems …

In order to provide an accurate and timely response to different types of the attacks, intrusion
and anomaly detection systems collect and analyze a lot of data that may include personal …

The recent development of smart devices has lead to an explosion in data generation and
heterogeneity. Hence, current networks should evolve to become more intelligent, efficient …

High data rate requirements in recent years have resulted in the massive expansion of
communication systems, network size and the amount of data generated and processed …

In the field of the IoV, connected vehicles utilise network connections to improve
transportation efficiency and safety. This will give rise to a range of vulnerabilities …

Recent developments in deep learning techniques have produced significant improvements
in long-standing AI jobs like drug discovery, gene analysis, and speech and image …

Abstract Security of Embedded Systems (ES) has become a major concern due to their
growing usage in numerous industries. Their connectivity to the internet made them …