Fifth-generation (5G) cellular networks have led to the implementation of beyond 5G (B5G)
networks, which are capable of incorporating autonomous services to swarm of unmanned …

In recent years, ransomware has been one of the most notorious malware targeting end-
users, governments, and business organizations. It has become a very profitable business …

This paper delves into the transformative role of machine learning (ML) techniques in
revolutionizing the security of electric and flying vehicles (EnFVs). By exploring key domains …

The current development of drones and the prospects in this field have positive
repercussions, in particular for employment and industrial development, with the key to …

This paper presented an exhaustive survey on the security and privacy issues of drones.
These security concerns were thoroughly dissected, particularly the aspect of cybersecurity …

Unmanned aerial vehicles (UAVs) have been instrumental in enabling many new
applications and services, including military and rescue operations, aerial surveillance …

In this paper, we propose hybrid consensus algorithms that combine machine learning (ML)
techniques to address the challenges and vulnerabilities in blockchain networks …

In recent times, distributed denial of service (DDoS) has been one of the most prevalent
security threats in internet-enabled networks, with many internet of things (IoT) devices …

As the Internet of Things (IoT) ecosystem evolves, innovative applications with stringent
demands with respect to latency will emerge. To handle computation-intensive tasks in a …

During the last few years, a wide variety of Internet of Drones (IoD) applications have
emerged with numerous heterogeneous aerial and ground network elements …