Defending airports from UAS: A survey on cyber-attacks and counter-drone sensing technologies
G Lykou, D Moustakas, D Gritzalis - Sensors, 2020 - mdpi.com
As the fastest growing segment of aviation, unmanned aerial systems (UAS) continue to
increase in number, technical complexity and capabilities. Numerous civilian and …
increase in number, technical complexity and capabilities. Numerous civilian and …
RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database
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 …
technical, security, and public safety issues that need to be addressed, regulated and …
Wavelet transform analytics for RF-based UAV detection and identification system using machine learning
In this work, we performed a thorough comparative analysis on a radio frequency (RF)
based drone detection and identification system (DDI) under wireless interference, such as …
based drone detection and identification system (DDI) under wireless interference, such as …
SoK-security and privacy in the age of drones: threats, challenges, solution mechanisms, and scientific gaps
The evolution of drone technology in the past nine years since the first commercial drone
was introduced at CES 2010 has caused many individuals and businesses to adopt drones …
was introduced at CES 2010 has caused many individuals and businesses to adopt drones …
Deep learning approach to UAV detection and classification by using compressively sensed RF signal
Y Mo, J Huang, G Qian - Sensors, 2022 - mdpi.com
Recently, the frequent occurrence of the misuse and intrusion of UAVs has made it a
research challenge to identify and detect them effectively, and relatively high bandwidth and …
research challenge to identify and detect them effectively, and relatively high bandwidth and …
RF-UAVNet: High-performance convolutional network for RF-based drone surveillance systems
In recent years, the increasing popularity of unmanned aerial vehicles (UAVs) has arisen
from the emergence of cutting-edge technologies deployed in small and low-cost devices …
from the emergence of cutting-edge technologies deployed in small and low-cost devices …
Drone sound detection system based on feature result-level fusion using deep learning
Q Dong, Y Liu, X Liu - Multimedia Tools and Applications, 2023 - Springer
Drones have attracted more and more attention due to the convenience and wide
applications, and they are playing important roles for both civilian and military. But these …
applications, and they are playing important roles for both civilian and military. But these …
Machine learning framework for RF-based drone detection and identification system
OO Medaiyese, A Syed, AP Lauf - 2021 2nd International …, 2021 - ieeexplore.ieee.org
The emergence of drones has added a new dimension to privacy and security issues. There
are little or no strict regulations on the people that can purchase or own a drone. For this …
are little or no strict regulations on the people that can purchase or own a drone. For this …
Aim: Acoustic inertial measurement for indoor drone localization and tracking
We present Acoustic Inertial Measurement (AIM), a one-of-a-kind technique for indoor drone
localization and tracking. Indoor drone localization and tracking are arguably a crucial, yet …
localization and tracking. Indoor drone localization and tracking are arguably a crucial, yet …
Anti-drone system based different technologies: Architecture, threats and challenges
YN Jurn, SA Mahmood… - 2021 11th IEEE …, 2021 - ieeexplore.ieee.org
the drones or unmanned aerial vehicles (UAVs), are enabling unlimited applications for
different services. Meanwhile, several threats are implemented due to their misuse and …
different services. Meanwhile, several threats are implemented due to their misuse and …