A survey on device behavior fingerprinting: Data sources, techniques, application scenarios, and datasets
In the current network-based computing world, where the number of interconnected devices
grows exponentially, their diversity, malfunctions, and cybersecurity threats are increasing at …
grows exponentially, their diversity, malfunctions, and cybersecurity threats are increasing at …
On the detection of unauthorized drones—Techniques and future perspectives: A review
MA Khan, H Menouar, A Eldeeb… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
The market size of civilian drones is tremendously increasing and is expected to reach 1.66
million by the end of 2023. The increase in number of civilian drones poses several privacy …
million by the end of 2023. The increase in number of civilian drones poses several privacy …
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 …
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 …
[HTML][HTML] RF-based UAV detection and identification using hierarchical learning approach
Unmanned Aerial Vehicles (UAVs) are widely available in the current market to be used
either for recreation as a hobby or to serve specific industrial requirements, such as …
either for recreation as a hobby or to serve specific industrial requirements, such as …
Drone transportation system: Systematic review of security dynamics for smart mobility
The intelligence and integrity of a real-time cyber–physical system depend on how
trustworthy the data's legitimacy, appropriation, and authorization are during end-to-end …
trustworthy the data's legitimacy, appropriation, and authorization are during end-to-end …
Drone detection approach based on radio-frequency using convolutional neural network
S Al-Emadi, F Al-Senaid - 2020 IEEE International Conference …, 2020 - ieeexplore.ieee.org
Recently, Unmanned Aerial Vehicles, also known as drones, are becoming rapidly popular
due to the advancement of their technology and the significant decrease in their cost …
due to the advancement of their technology and the significant decrease in their cost …
Deep learning and blockchain with edge computing for 5G-enabled drone identification and flight mode detection
Nowadays, drones are not just deployed for defense and military establishments, but they
are widely used in many applications such as natural disaster monitoring, soil and crop …
are widely used in many applications such as natural disaster monitoring, soil and crop …
Deep learning for RF-based drone detection and identification: A multi-channel 1-D convolutional neural networks approach
MS Allahham, T Khattab… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Commercial unmanned aerial vehicles, or drones, are getting increasingly popular in the
last few years. The fact that these drones are highly accessible to public may bring a range …
last few years. The fact that these drones are highly accessible to public may bring a range …
CNN-SSDI: Convolution neural network inspired surveillance system for UAVs detection and identification
In recent years, the availability of commercial unmanned air vehicles (UAVs) has increased
enormously because of device miniaturization and low cost. However, the abuse of UAVs …
enormously because of device miniaturization and low cost. However, the abuse of UAVs …