# About the safety risks of signal spoofing of autonomous driving systems Yes, both in theory and practice, it has been proved that autonomous vehicles can produce false reactions by falsifying or interfering with signals, which is one of the important safety challenges faced by autonomous driving systems. ## The main attack vectors include： 1. **Sensor spoofing**： -Lidar signal interference can lead to false obstacle recognition -Deceive the camera system through projection or physical objects -Use sound waves to interfere with ultrasonic sensors 2. **GPS spoofing**： - Send false GPS signals to misjudge the location of the vehicle - May cause the vehicle to deviate from the scheduled route 3. **Communication system attack**： -Interfere with V2V (car-to-car) or V2I (car-to-infrastructure) communication -Transmission of incorrect traffic information ## Potential impact： These attacks may cause the vehicle to perform dangerous actions, such as braking sharply, steering incorrectly, or failing to recognize real obstacles. Automobile manufacturers and research institutions are actively developing multi-factor authentication systems, encrypted communication protocols, and anomaly detection algorithms to alleviate these risks. This is why autonomous driving systems need to integrate multiple sensor data and adopt redundant designs to improve their resistance to single signal interference.