A comprehensive survey on security, privacy issues and emerging defence technologies for UAVs
In the past two decades, there has been a rapid development in the drone industry known as
Unmanned Aerial Vehicles (UAVs). Currently, the use of commercial UAVs has increased a …
Unmanned Aerial Vehicles (UAVs). Currently, the use of commercial UAVs has increased a …
Applications of deep reinforcement learning in communications and networking: A survey
This paper presents a comprehensive literature review on applications of deep
reinforcement learning (DRL) in communications and networking. Modern networks, eg …
reinforcement learning (DRL) in communications and networking. Modern networks, eg …
Privacy-preserving federated learning for UAV-enabled networks: Learning-based joint scheduling and resource management
Unmanned aerial vehicles (UAVs) are capable of serving as flying base stations (BSs) for
supporting data collection, machine learning (ML) model training, and wireless …
supporting data collection, machine learning (ML) model training, and wireless …
Machine learning for enhancing transportation security: A comprehensive analysis of electric and flying vehicle systems
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 …
revolutionizing the security of electric and flying vehicles (EnFVs). By exploring key domains …
A gentle introduction to reinforcement learning and its application in different fields
Due to the recent progress in Deep Neural Networks, Reinforcement Learning (RL) has
become one of the most important and useful technology. It is a learning method where a …
become one of the most important and useful technology. It is a learning method where a …
Reinforcement learning-based physical cross-layer security and privacy in 6G
Sixth-generation (6G) cellular systems will have an inherent vulnerability to physical (PHY)-
layer attacks and privacy leakage, due to the large-scale heterogeneous networks with …
layer attacks and privacy leakage, due to the large-scale heterogeneous networks with …
UAV-enabled integrated sensing and communication: Opportunities and challenges
Unmanned aerial vehicle (UAV)-enabled integrated sensing and communication (ISAC) has
attracted growing research interests in the context of sixth-generation (6G) wireless …
attracted growing research interests in the context of sixth-generation (6G) wireless …
An extensive survey on the Internet of Drones
Abstract The Internet of Drones (IoD) recently gained momentum due to its high adaptability
to a wide variety of complex scenarios. Indeed, Unmanned Aerial Vehicles (UAVs) can …
to a wide variety of complex scenarios. Indeed, Unmanned Aerial Vehicles (UAVs) can …
UAV-assisted IoT applications, cybersecurity threats, AI-enabled solutions, open challenges with future research directions
Unnamed Ariel Vehicle-assisted-Internet of Things (UAV-assisted IoT) applications have
emerged as a powerful integrated technology, showcasing remarkable results in many …
emerged as a powerful integrated technology, showcasing remarkable results in many …
Transfer learning for wireless networks: A comprehensive survey
With outstanding features, machine learning (ML) has become the backbone of numerous
applications in wireless networks. However, the conventional ML approaches face many …
applications in wireless networks. However, the conventional ML approaches face many …