The project focuses on improving the security and efficiency of vehicular networks, which are vital to the advancement of intelligent transportation systems (ITS) and the integration of autonomous vehicles (AVs). It explores the application of machine learning, particularly reinforcement learning, to address key security challenges such as privacy protection, trust management, and the detection of communication attacks within Vehicular Ad-hoc Networks (VANETs) and the broader Internet of Vehicles (IoV). In addition, the project investigates the use of blockchain technology to create a decentralized framework for secure data sharing, ensuring the integrity and safety of vehicle-to-everything (V2X) communications.