A 6G-based Intelligent Cybersecurity Solution for Connected and Autonomous Vehicles

Autonomous Vehicle (AV) is one of the most promising technologies in the 21st century. Autonomous driving eliminates human errors in driving, and autonomous driving is anticipated as a key technology to eliminate accidents and improve driving conditions that will eventually improve environmental sustainability. Autonomous driving ecosystems consist of four distinguishable elements. These elements are sensors, vehicle operating systems, control systems, and vehicle-to-everything (V2X) communication. The successful autonomous driving operation is an outcome of the synergistic operation of every component. AVs could connect, forming Connected and Autonomous Vehicles (CAVs) to support a wide range of network communications such as cloud and edge. The evolution of communication with the 6G mobile networks enables high-end connectivity with low latency to the autonomous driving ecosystems to communicate between each component in the driving. As an integral technology in 6G networks and applications, Artificial Intelligence (AI) also plays a substantial role in autonomous driving. The intelligence gathered by the 6G network connecting the autonomous vehicles must be passed appropriately to enable a sophisticated autonomous driving system. Hence, the accuracy of the decisions taken by such AI models is a key success factor towards future autonomous driving. Security plays an essential role in realizing a proper autonomous driving system, as this application requires critical communication among the autonomous driving elements. In general, the security of autonomous driving ecosystems includes establishing privacy, integrity, availability, authentication, audit, response and recovery. Adversarial attempts to tamper with the data generated by autonomous vehicles impact the entire system. It causes the AI models to produce incorrect outcomes that harm the system. Hence, it is essential to ensure the security and reliability of CAV systems. This proposal introduces an Intrusion Detection System (IDS) as a fundamental component of Intelligent Vehicular Networks for CAVs. An IDS will be a critical safeguard in identifying and mitigating potential threats and vulnerabilities, ensuring the secure and uninterrupted operation of CAV systems.  

Requirements: UK honours equivalent in Computer Science, Maths, Engineering.

Subject areas: Adversarial Machine Learning, Autonomous and Connected Vehicle, and 6G

For further details contact: Dr Zahra Pooranian @ [Email Address Removed]