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2024 | Book

Securing Unmanned Aerial Vehicle Networks

Models and Algorithms

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About this book

This book focuses on the model and algorithm aspects of securing Unmanned Aerial Vehicle Networks (UAV). To equip readers with the essential knowledge required for conducting research in this field, it covers the foundational concepts of this topic as well. This book also offers a detailed insight into UAV networks from the physical layer security point of view.
The authors discuss the appropriate channel models for characterizing various propagation environments that UAV networks are exposed. The state-of-the-art technologies, such as UAV trajectory design, cooperative jamming and reconfigurable intelligent surfaces are covered. The corresponding algorithms for significantly improving the security of UAV networks, along with practical case studies on topics such as energy-efficient and secure UAV networks, elevation angle-distance trade-off for securing UAV networks and securing UAV networks with the aid of reconfigurable intelligent surfaces are presented as well. Last, this book outlines the future challenges and research directions to facilitate further studies on secure UAV networks. This book is suitable reading for graduate students and researchers who are interested in the research areas of UAV networking and communications, IoT security, and physical layer security in wireless networks. Professionals working within these related fields will also benefit from this book.

Table of Contents

Frontmatter
Chapter 1. Overview
Abstract
Aircrafts capable of operating without any human pilot onboard are known as drones or unmanned aerial vehicles (UAVs). UAVs can be controlled remotely by a human operator, or they can operate autonomously using pre-programmed flight plans.
Bin Duo, Xiaojun Yuan, Yifan Liu
Chapter 2. Air-to-Ground Channel Modeling and Generalized Algorithms
Abstract
As technological advancements continue to progress in the field of UAVs, their potential applications are vast and diverse, ranging from surveillance and aerial photography to agriculture and emergency rescue. This growth is anticipated to be significant, with the FAA predicting a tripling of the UAV market by the end of 2023.
Bin Duo, Xiaojun Yuan, Yifan Liu
Chapter 3. Securing UAV Networks for Rural Areas
Abstract
UAVs have been widely used in wireless communication networks due to their manoeuvrability, low cost and LoS AG links [37]. Despite the rapid development of UAV networks, there are still new challenges when UAVs implement their missions in rural areas. Due to the dominant LoS links, legitimate UAV communications are more susceptible to wiretapping or interference caused by ground eavesdroppers (GEs) or jammers [38], which may lead to the failure of UAV missions.
Bin Duo, Xiaojun Yuan, Yifan Liu
Chapter 4. Securing UAV Networks for Urban Areas
Abstract
abstract
Bin Duo, Xiaojun Yuan, Yifan Liu
Chapter 5. Securing UAV Networks for Dense Urban Areas
Abstract
In the typical application scenarios of 6G networks, UAVs can make full use of their flexible maneuverability in the air to expand the coverage of the network, while avoiding environmental obstacles, reducing the path loss of signal transmission, improving communication quality, and reducing system latency.
Bin Duo, Xiaojun Yuan, Yifan Liu
Chapter 6. Conclusions and Open Issues
Abstract
With the large-scale commercialization of 5G, the research on next-generation wireless communication networks is on the rise in both academia and industry.
Bin Duo, Xiaojun Yuan, Yifan Liu
Backmatter
Metadata
Title
Securing Unmanned Aerial Vehicle Networks
Authors
Bin Duo
Xiaojun Yuan
Yifan Liu
Copyright Year
2024
Electronic ISBN
978-3-031-45605-3
Print ISBN
978-3-031-45604-6
DOI
https://doi.org/10.1007/978-3-031-45605-3

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