Postgraduate research project

Improving the resilient of autonomous vehicles against cyber threats with AI models enhancement

Funding
Competition funded View fees and funding
Type of degree
Doctor of Philosophy
Entry requirements
2:1 honours degree View full entry requirements
Faculty graduate school
Faculty of Engineering and Physical Sciences
Closing date

About the project

This project will work to enable AI models for application in vehicles to handle cyber risks in real-time, ensuring safe and uninterrupted operation in critical situations. 

We are currently seeing transformative advancement in autonomous vehicles thanks to the use of Artificial Intelligence (AI) technologies. These advancements come with cybersecurity threats and attacks that can have disastrous implications on safety and security. Furthermore, the vulnerabilities within these AI models increase the cyber threats, as they can be exploited for example through sensor data manipulation and network attacks, endangering vehicle safety and undermining public trust. 

To improve the resilience of autonomous vehicles (including smart cars) it is crucial to analyse the cyber threats of AI models and to develop robust security measures that integrate cybersecurity principles.  

The main objectives of this project are:

  • to analyse AI model vulnerability for autonomous vehicles  
  • to develop a threat classification and categorization system for cyber threats targeting AI-based autonomous vehicles
  • to develop a security and mitigation framework that includes mitigation strategies for AI models, emphasizing real-time threat detection and system resilience

You will work on improving the resilience and safety of AI systems in autonomous vehicles by strengthening their defences against cyber threats. This will enable AI models in vehicles to handle cyber risks in real-time, ensuring safe and uninterrupted operation.

The Centre for Doctoral Training in Complex Integrated Systems for Defence & Security (CISDnS) is committed to promoting equality, diversity and inclusivity. We welcome all applicants regardless of their gender, ethnicity, disability, sexual orientation or age, and will give full consideration to applicants seeking flexible working patterns and those who have taken a career break or are transitioning into a new role. The University has a generous maternity policy, onsite childcare facilities, and offers a range of benefits to help ensure employees’ well-being and work-life balance.