On behalf of Prof. Dr. Oliver Bendel, M. Hashem Birahjakli investigated possible attacks on self-driving cars as part of his final thesis in 2020. The supervisor was Safak Korkut. In the chapter “Attacking Scenarios on Sensors” the student divided into invasive attacks and non-invasive attacks. In the section on invasive attacks he dealt with different sensors and examined possible attacks based on scenarios: vision-based cameras (chewing gum, lipstick, and nail polish; spraying paint; transparent colored foil; concave lenses), radar (chaff, countermeasure), lidar (mirror and reflective objects; dust; face powder), inertial measuring unit (magnet), and sonar (carrot and stick; duct tape). In the section on non-invasive attacks he dealt with fake traffic signs, invisible or fake obstacles, and roadside attacks. The results of the work suggest that every 14-year-old girl could disable a self-driving car. So far, hacking has been seen as the greatest threat to autonomous driving. But while not everyone can hack, almost everyone carries chewing gum or lipstick. The automotive industry should consider this threat seriously.
BY OLIVER BENDEL
