3 citations · 4 across the 9 of their papers we have counts for
8 papers · 1 filter
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…
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…
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…
Attacks on Perception-Based Control Systems: Modeling and Fundamental Limits
Amir Khazraei, Henry Pfister, Miroslav Pajic
We study the performance of perception-based control systems in the presence of attacks, and provide methods for modeling and analysis of their resiliency to stealthy attacks on bo…
Resiliency of Nonlinear Control Systems to Stealthy Sensor Attacks
Amir Khazraei, Miroslav Pajic
In this work, we focus on analyzing vulnerability of nonlinear dynamical control systems to stealthy sensor attacks. We start by defining the notion of stealthy attacks in the most…
Optimal Myopic Attacks on Nonlinear Estimation
R. Spencer Hallyburton, Amir Khazraei, Miroslav Pajic
Recent high-profile incidents have exposed security risks in control systems. Particularly important and safety-critical modules for security analysis are estimation and control (E…