Simulation of Sensor Spoofing Attacks on Unmanned Aerial Vehicles using the Gazebo Simulator

Pekaric, Irdin; Arnold, David; Felderer, Michael

doi:10.1109/qrs-c57518.2022.00016

Cited by 1 publication

(1 citation statement)

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“…Pekaric et al 25 exploit vulnerabilities within ROS and Gazebo, specifically within the MAVlink protocol, that demonstrate the potential for spoofing and jamming attacks. One such attack exploits LIDAR, and the framework is provided for malicious attacks to manipulate the object avoidance algorithm through injected LIDAR signals that then allows for the target to be controlled.…”

Section: Related Workmentioning

confidence: 99%

Developing robust autonomous vehicles with ROS

Kangas,

Salem,

et al. 2024

Autonomous Systems: Sensors, Processing, and Security for Ground, Air, Sea, and Space Vehicles and Infrastructure 2024

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In the rapidly evolving landscape of military technology, the demand for autonomous vehicles (AVs) is increasing in both public and private sectors. These autonomous systems promise many benefits including enhanced efficiency, safety, and flexibility. To meet this demand, development of autonomous vehicles that are resilient and versatile are essential to the transport and reconnaissance market. The sensory perception of autonomous vehicles of any kind is paramount to their ability to navigate and localize in their environment. Typically, the sensors used for localization and mapping include LIDAR, IMU, GPS, and radar. Each of these has inherent weaknesses that must be accounted for in a robust system. This paper presents quantified results of simulated perturbations, artificial noise models, and other sensor challenges on autonomous vehicle platforms. The research aims to establish a foundation for robust autonomous systems, accounting for sensor limitations, environmental noise, and defense against nefarious attacks.

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Section: Related Workmentioning

confidence: 99%