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 …
[HTML][HTML] Detecting and mitigating attacks on GPS devices
J Burbank, T Greene, N Kaabouch - Sensors, 2024 - mdpi.com
Modern systems and devices, including unmanned aerial systems (UASs), autonomous
vehicles, and other unmanned and autonomous systems, commonly rely on the Global …
vehicles, and other unmanned and autonomous systems, commonly rely on the Global …
Machine learning for the detection and identification of Internet of Things devices: A survey
The Internet of Things (IoT) is becoming an indispensable part of everyday life, enabling a
variety of emerging services and applications. However, the presence of rogue IoT devices …
variety of emerging services and applications. However, the presence of rogue IoT devices …
Recent advances in machine-learning driven intrusion detection in transportation: Survey
Abstract Rapid developments in Intelligent Transportation Systems (ITSs) have emerged as
a new research field for building sustainable smart cities. VANET (vehicular ad hoc network) …
a new research field for building sustainable smart cities. VANET (vehicular ad hoc network) …
On the ground and in the sky: A tutorial on radio localization in ground-air-space networks
The inherent limitations in scaling up ground infrastructure for future wireless networks,
combined with decreasing operational costs of aerial and space networks, are driving …
combined with decreasing operational costs of aerial and space networks, are driving …
Real-time collaborative intrusion detection system in uav networks using deep learning
Unmanned aerial vehicles (UAVs) are being used extensively in various fields. UAVs
provide various services to users, including monitoring, logistics, and sensing, because of …
provide various services to users, including monitoring, logistics, and sensing, because of …
Tree-based supervised machine learning models for detecting GPS spoofing attacks on UAS
The security of Unmanned Aerial System (UAS) networks is becoming crucial as their
number and application in several fields are increasing every day. For navigation and …
number and application in several fields are increasing every day. For navigation and …
Instance-based supervised machine learning models for detecting GPS spoofing attacks on UAS
Unmanned Aerial Systems (UAS) heavily depend on the Global Positioning System (GPS)
for navigation. However, the unencrypted civilian GPS signals are subject to different types …
for navigation. However, the unencrypted civilian GPS signals are subject to different types …
Deep learning enabled reliable identity verification and spoofing detection
Identity spoofing is one of the severe threats in Cyber-Physical Systems (CPS). These
attacks can cause hazardous issues if they occur in Air Traffic Control (ATC) or other safety …
attacks can cause hazardous issues if they occur in Air Traffic Control (ATC) or other safety …
[PDF][PDF] Location spoofing attack detection with pre-installed sensors in mobile devices.
SK Wong, SM Yiu - J. Wirel. Mob. Networks Ubiquitous Comput …, 2020 - scholar.archive.org
Abstract The Global Positioning System (GPS) plays an important role in many industries
nowadays. It provides a simple and convenient way for users to locate their position on the …
nowadays. It provides a simple and convenient way for users to locate their position on the …