Reinforcement Learning-Assisted Virtualized Security Framework for CAVs
Security vulnerabilities in the Connected and Autonomous Vehicle (CAV) software can allow hackers to perform malicious actions ranging from draining batteries and taking control of the steering wheel to disabling the alarm system. CAV software is subject to several cyber-attacks including memory corruption, code injection, remote code execution, and malware attacks. This study develops a […]