This paper delves into the transformative role of machine learning (ML) techniques in
revolutionizing the security of electric and flying vehicles (EnFVs). By exploring key domains …

This paper proposes an intelligent hybrid model that leverages machine learning and
artificial intelligence to enhance the security of Wireless Sensor Networks (WSNs) by …

Unmanned aerial vehicles (UAVs) substantially rely on the utilization of global positioning
systems (GPS) to navigate. A simulator for commercial GPS applications with false GPS …

Global navigation satellite systems (GNSS) are indispensable for various applications, but
they are vulnerable to spoofing attacks. The original receiver autonomous integrity …

Abstract Unmanned Aerial Vehicles (UAVs) are typical real-time embedded systems, which
require precise locations for completing flight missions. The Global Navigation Satellite …

Unmanned Aerial Vehicles (UAV) are prone to cyber threats, including Global Positioning
System (GPS) spoofing attacks. Several studies have been performed to detect and classify …

This study presents a geospatial analysis approach to derive the failure probability of GPS
spoofing attacks by utilizing Poisson Point Process (PPP) modeling. The research begins by …

This paper focuses on the risks linked to the Global Navigation Satellite System (GNSS) and
introduces a scenario involving a data-transmitting device connected to a cloud-based …

This paper presents mono camera-based GPS spoofing detection for aerial vehicles utilizing
only image information besides the initial orientation of the vehicle. Orientation information is …