As the world becomes increasingly reliant on technology, the field of cybersecurity has gained paramount importance. The surge in the use of interconnected systems, particularly in the realm of autonomous vehicles, has escalated the risk of cyberattacks. Consequently, cyber-physical security has emerged as a critical area of research to address these concerns. The objective of this research was to delve into the field of cyber-physical security, focusing on the development of AI-based methods to detect cyberattacks on autonomous vehicles. Machine learning, a subset of artificial intelligence, has been extensively employed in cybersecurity to develop automated methods for detecting cyberattacks. Deep learning, in particular, has shown promising results in detecting anomalies and identifying cyberattacks.