Black-box Stealthy GPS Attacks on Unmanned Aerial Vehicles

Fuente: arXiv
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Autori principali: Khazraei, Amir, Meng, Haocheng, Pajic, Miroslav
Natura: Preprint
Pubblicazione: 2024
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author Khazraei, Amir
Meng, Haocheng
Pajic, Miroslav
author_facet Khazraei, Amir
Meng, Haocheng
Pajic, Miroslav
contents 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 quadcopter is equipped with IMU and GPS sensors, and an arbitrary sensor fusion and controller are used to estimate and regulate the system's states, respectively. We consider the notion of stealthiness in the most general form, where the attack is defined to be stealthy if it cannot be detected by any existing anomaly detector. Then, we show that if the closed-loop control system is incrementally exponentially stable, the attacker can cause arbitrarily large deviation in the position trajectory by compromising only the GPS measurements. We also show that to conduct such stealthy impactfull attack values, the attacker does not need to have access to the model of the system. Finally, we illustrate our results in a UAV case study.
format Preprint
id arxiv_https___arxiv_org_abs_2409_11405
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Black-box Stealthy GPS Attacks on Unmanned Aerial Vehicles
Khazraei, Amir
Meng, Haocheng
Pajic, Miroslav
Systems and Control
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 quadcopter is equipped with IMU and GPS sensors, and an arbitrary sensor fusion and controller are used to estimate and regulate the system's states, respectively. We consider the notion of stealthiness in the most general form, where the attack is defined to be stealthy if it cannot be detected by any existing anomaly detector. Then, we show that if the closed-loop control system is incrementally exponentially stable, the attacker can cause arbitrarily large deviation in the position trajectory by compromising only the GPS measurements. We also show that to conduct such stealthy impactfull attack values, the attacker does not need to have access to the model of the system. Finally, we illustrate our results in a UAV case study.
title Black-box Stealthy GPS Attacks on Unmanned Aerial Vehicles
topic Systems and Control
url https://arxiv.org/abs/2409.11405