AI-empowered Secure Data Communication in V2X Environment with 6G Network

Vehicle-to-Everything (V2X) environment is driven by the evolution of Internet-of-Vehicles, satisfying the applications of Intelligent Transportation Systems. The rapid growth in vehicles demanded intelligent services such as traffic congestion, road safety, collision avoidance, and efficient traffic monitoring for autonomous V2X environments. On-board units and Roadside units communicate using Controller Area Network (CAN) protocol to broadcast vehicle and traffic information. But, CAN does not employ any security feature for encrypting the broadcasted messages. Hence, there is a demand to use Artificial Intelligence (AI) techniques and Blockchain (BC) technology to handle security issues in CAN. Given this background, we proposed an AI-empowered, BC-based secure data communication underlying a 6G network. We have used CAN Intrusion Detection dataset for training and testing purposes. Our proposed architecture uses Gaussian Naive Bayes classifier to classify the dataset into attacked and attack-free classes and outperforms with 93% accuracy. We have achieved low data storage cost, low latency, and high scalability by employing Inter Planetary File System and a 6G network, respectively.