Security analysis of drones systems: Attacks, limitations, and recommendations

JP Yaacoub, H Noura, O Salman, A Chehab - Internet of Things, 2020 - Elsevier
Recently, the world witnessed a significant increase in the number of used drones, with a
global and continuous rise in the demand for their multi-purpose applications. The pervasive …

A comprehensive review of unmanned aerial vehicle attacks and neutralization techniques

V Chamola, P Kotesh, A Agarwal, N Gupta, M Guizani - Ad hoc networks, 2021 - Elsevier
Abstract Unmanned Aerial Vehicles (UAV) have revolutionized the aircraft industry in this
decade. UAVs are now capable of carrying out remote sensing, remote monitoring, courier …

Accessing from the sky: A tutorial on UAV communications for 5G and beyond

Y Zeng, Q Wu, R Zhang - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have found numerous applications and are expected to
bring fertile business opportunities in the next decade. Among various enabling …

Detection and classification of UAVs using RF fingerprints in the presence of Wi-Fi and Bluetooth interference

M Ezuma, F Erden, CK Anjinappa… - IEEE Open Journal …, 2019 - ieeexplore.ieee.org
This paper investigates the problem of detection and classification of unmanned aerial
vehicles (UAVs) in the presence of wireless interference signals using a passive radio …

A review of counter-UAS technologies for cooperative defensive teams of drones

VU Castrillo, A Manco, D Pascarella, G Gigante - Drones, 2022 - mdpi.com
In recent years, the drone market has had a significant expansion, with applications in
various fields (surveillance, rescue operations, intelligent logistics, environmental …

Machine learning inspired sound-based amateur drone detection for public safety applications

MZ Anwar, Z Kaleem… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In recent years, popularity of unmanned air vehicles enormously increased due to their
autonomous moving capability and applications in various domains. This also results in …

RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database

MF Al-Sa'd, A Al-Ali, A Mohamed, T Khattab… - Future Generation …, 2019 - Elsevier
The omnipresence of unmanned aerial vehicles, or drones, among civilians can lead to
technical, security, and public safety issues that need to be addressed, regulated and …

Protect your sky: A survey of counter unmanned aerial vehicle systems

H Kang, J Joung, J Kim, J Kang, YS Cho - Ieee Access, 2020 - ieeexplore.ieee.org
Recognizing the various and broad range of applications of unmanned aerial vehicles
(UAVs) and unmanned aircraft systems (UAS) for personal, public and military applications …

Micro-UAV detection and classification from RF fingerprints using machine learning techniques

M Ezuma, F Erden, CK Anjinappa… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
This paper focuses on the detection and classification of micro-unmanned aerial vehicles
(UAVs) using radio frequency (RF) fingerprints of the signals transmitted from the controller …

Safeguarding wireless network with UAVs: A physical layer security perspective

Q Wu, W Mei, R Zhang - IEEE Wireless Communications, 2019 - ieeexplore.ieee.org
Integrating unmanned aerial vehicles (UAVs) into future wireless systems such as the fifth-
generation cellular network is anticipated to bring significant benefits for both the UAV and …