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 …
A review of security incidents and defence techniques relating to the malicious use of small unmanned aerial systems
CJ Swinney, JC Woods - IEEE Aerospace and Electronic …, 2022 - ieeexplore.ieee.org
Critical national infrastructure sites, such as airports and nuclear facilities, have been subject
to a number of airspace breaches from malicious unmanned aerial systems (UASs) in recent …
to a number of airspace breaches from malicious unmanned aerial systems (UASs) in recent …
Micro-UAV detection and classification from RF fingerprints using machine learning techniques
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 …
(UAVs) using radio frequency (RF) fingerprints of the signals transmitted from the controller …
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 …
Dronesense: The identification, segmentation, and orientation detection of drones via neural networks
The growing ubiquity of drones has raised concerns over the ability of traditional air-space
monitoring technologies to accurately characterise such vehicles. Here, we present a CNN …
monitoring technologies to accurately characterise such vehicles. Here, we present a CNN …
Trajectory and image-based detection and identification of UAV
Y Liu, L Liao, H Wu, J Qin, L He, G Yang, H Zhang… - The Visual …, 2021 - Springer
Much more attentions have been attracted to the inspection and prevention of unmanned
aerial vehicle (UAV) in the wake of increasing high frequency of security accident. Many …
aerial vehicle (UAV) in the wake of increasing high frequency of security accident. Many …
Proposing a privacy protection model in case of civilian drone
Technology-based products are meant for improving the people's quality of life. Since
drones or more precisely Unmanned Aerial Vehicle's UAVs were permitted to be used for …
drones or more precisely Unmanned Aerial Vehicle's UAVs were permitted to be used for …
Ensemble Learning for UAV Detection: Developing a Multi-Class Multimodal Dataset
Unmanned aerial vehicles (UAVs) are a growing threat to public safety if used maliciously. In
this study, we present our multimodal data set containing image, audio, and radio frequency …
this study, we present our multimodal data set containing image, audio, and radio frequency …
[图书][B] UAV detection and classification using radar, radio frequency and machine learning techniques
MC Ezuma - 2022 - search.proquest.com
Unmanned aerial vehicles (UAVs or drones) have been receiving a lot of attention in civilian
space. Many small and low-cost UAVs are finding applications in areas such as commercial …
space. Many small and low-cost UAVs are finding applications in areas such as commercial …
Deep learning inspired vision based frameworks for drone detection
Drone detection technology is a new frontier in defence systems. With increasing incidences
of crimes and terroristic attacks using commercial drones, detection of unauthorized drones …
of crimes and terroristic attacks using commercial drones, detection of unauthorized drones …