To satisfy the expected plethora of demanding services, the future generation of wireless
networks (6G) has been mandated as a revolutionary paradigm to carry forward the …

The recent advancements in unmanned aerial vehicles (UAVs) upsurges its usages in
commercial and civilian applications such as surveillance, rescue, and crowdsensing. UAVs …

UAVNs (unmanned aerial vehicle networks) may become vulnerable to threats and attacks
due to their characteristic features such as highly dynamic network topology, open-air …

Advanced persistent threat (APT), with intense penetration, long duration, and high
customization, has become one of the most grievous threats to cybersecurity. Furthermore …

Along with the importance of safety, an IDS has become a significant task in the real world.
Prior studies proposed various intrusion detection models for the UAV. Past rule-based …

Reinforcement learning is a machine-learning paradigm, which learns the best actions an
agent needs to perform to maximize its rewards in a particular environment. Research into …

Unmanned aerial vehicles (UAVs) are expected to be extensively used as an integral part in
the future generations of communication networks, to provide ubiquitous connectivity. The …

Technological revolution has done wonders in Aeronautics. With the evolution Unmanned
Aerial vehicle, not only the military sector but also the commercial and industrial sectors use …

Reinforcement learning (RL) is a machine learning paradigm, like supervised or
unsupervised learning, which learns the best actions an agent needs to perform to maximize …

Unmanned aerial systems (UASs) create an extensive fighting capability of the developed
military forces. Particularly, these systems carrying confidential data are exposed to security …