Ensuring cybersecurity for connected and autonomous cars is vital as these vehicles become more prevalent on our roads. This paper addresses security concerns and solutions for unmanned aerial vehicles. Connected and autonomous vehicles (CAVs) are prone to cyber threats, including system fraud, information theft, and offsite intrusion, due to complex software integration and advanced communication technologies. The examination outlines CAV vulnerabilities, emphasizing system design intricacies with external networks, detectors, and onboard computers. Common threats like denial-of-service attacks on vehicle-to-vehicle communication, sensor data tampering, and illegal system access are discussed. The research delves into existing cybersecurity frameworks and CAV-specific techniques, highlighting the significance of intrusion detection, authorization, and encryption. Additionally, it explores the potential benefits and drawbacks of cutting-edge technologies such as blockchain and artificial intelligence in enhancing CAV cybersecurity.