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eess.SY2025
MARS: Defending Unmanned Aerial Vehicles From Attacks on Inertial Sensors with Model-based Anomaly Detection and Recovery
Haocheng Meng, Shaocheng Luo, Zhenyuan Liang +3
Unmanned Aerial Vehicles (UAVs) rely on measurements from Inertial Measurement Units (IMUs) to maintain stable flight. However, IMUs are susceptible to physical attacks, including…
eess.SY2024
Black-box Stealthy GPS Attacks on Unmanned Aerial Vehicles
Amir Khazraei, Haocheng Meng, Miroslav Pajic
This work focuses on analyzing the vulnerability of unmanned aerial vehicles (UAVs) to stealthy black-box false data injection attacks on GPS measurements. We assume that the quadc…
eess.SY2023★ 1 cited
Vulnerability Analysis of Nonlinear Control Systems to Stealthy False Data Injection Attacks
Amir Khazraei, Miroslav Pajic
In this work, we focus on analyzing vulnerability of nonlinear dynamical control systems to stealthy false data injection attacks on sensors. We start by defining the stealthiness…