Cybersecurity and Autonomous Driving: Experiments with LiDAR Sensor Spoofing

This research investigates the vulnerability of onboard navigation sensors in autonomous vehicles to cybersecurity attacks. By exploiting the interconnectedness of these systems, adversaries can manipulate sensor data, compromise software, or physically interfere with sensors, potentially leading to serious consequences. This study describes cybersecurity experiments on a hardware-in-the-loop autonomous vehicle testbed, focusing on cyberattacks against LiDAR-based navigation, exploring various attack vectors, including jamming and various methods of spoofing. Experimental results demonstrate the feasibility of these attacks and highlight the need for robust security measures to protect autonomous vehicles from cyber threats. The findings emphasize the importance of ongoing research in developing effective countermeasures to ensure the safety and reliability of autonomous driving systems.