A comprehensive survey on the cyber-security of smart grids: Cyber-attacks, detection, countermeasure techniques, and future directions
One of the significant challenges that smart grid networks face is cyber-security. Several
studies have been conducted to highlight those security challenges. However, the majority …
studies have been conducted to highlight those security challenges. However, the majority …
[HTML][HTML] A survey on the use of deep learning techniques for uav jamming and deception
O Šimon, T Götthans - Electronics, 2022 - mdpi.com
Unmanned aerial vehicles (UAVs) can be used for a variety of illegal activities (eg, industrial
espionage, smuggling, terrorism). Given their growing popularity and availability, and …
espionage, smuggling, terrorism). Given their growing popularity and availability, and …
[HTML][HTML] Smart cybersecurity framework for IoT-empowered drones: Machine learning perspective
Drone advancements have ushered in new trends and possibilities in a variety of sectors,
particularly for small-sized drones. Drones provide navigational interlocation services, which …
particularly for small-sized drones. Drones provide navigational interlocation services, which …
Evaluation of naïve bayesian algorithms for cyber-attacks detection in wireless sensor networks
Wireless Sensor Network (WSN) is one of the Internet of Things (IoT) operating platforms,
which has proliferated into a wide range of applications. These networks comprise many …
which has proliferated into a wide range of applications. These networks comprise many …
[HTML][HTML] Impact of dataset and model parameters on machine learning performance for the detection of GPS spoofing attacks on unmanned aerial vehicles
GPS spoofing attacks are a severe threat to unmanned aerial vehicles. These attacks
manipulate the true state of the unmanned aerial vehicles, potentially misleading the system …
manipulate the true state of the unmanned aerial vehicles, potentially misleading the system …
[HTML][HTML] ConstDet: Control Semantics-Based Detection for GPS Spoofing Attacks on UAVs
UAVs are widely used in agriculture, the military, and industry. However, it is easy to perform
GPS spoofing attacks on UAVs, which can lead to catastrophic consequences. In this paper …
GPS spoofing attacks on UAVs, which can lead to catastrophic consequences. In this paper …
[HTML][HTML] An ensemble-based machine learning approach for cyber-attacks detection in wireless sensor networks
Wireless Sensor Networks (WSNs) are the key underlying technology of the Internet of
Things (IoT); however, these networks are energy constrained. Security has become a major …
Things (IoT); however, these networks are energy constrained. Security has become a major …
[HTML][HTML] A data normalization technique for detecting cyber attacks on UAVs
E Basan, A Basan, A Nekrasov, C Fidge, E Abramov… - Drones, 2022 - mdpi.com
The data analysis subsystem of an Unmanned Aerial Vehicle (UAV) includes two main
modules: a data acquisition module for data processing and a normalization module. One of …
modules: a data acquisition module for data processing and a normalization module. One of …
[HTML][HTML] GPS spoofing detection method for small UAVs using 1D convolution neural network
YH Sung, SJ Park, DY Kim, S Kim - Sensors, 2022 - mdpi.com
The navigation of small unmanned aerial vehicles (UAVs), such as quadcopters,
significantly relies on the global positioning system (GPS); however, UAVs are vulnerable to …
significantly relies on the global positioning system (GPS); however, UAVs are vulnerable to …
A comparative analysis of supervised and unsupervised models for detecting gps spoofing attack on uavs
With the increasing use of Unmanned Aerial Vehicles in military and civilian applications,
the security of this technology has become one of the critical concerns. UAVs' positioning …
the security of this technology has become one of the critical concerns. UAVs' positioning …