In our daily lives, we rely more and more on technology, which exposes us to several serious threats in the cyber-physical domain. The relentless evolution of advanced technologies such as Internet of things, mobile, and cloud computing has been instrumental in expanding the capabilities of the cyber-physical space, which is becoming increasingly interwoven with our lives. Cyber-physical technologies have brought many benefits in terms of efficiency, opportunities, and connectivity. However, our heavy reliance on the cyber-physical space has been massively exploited by attackers to compromise the confidentiality, integrity, and availability of our devices, data, and services. Attacks are not limited to cyberspace, as the ubiquity of embedded devices means attackers can access them directly and conduct physical attacks.
A fully funded Ph.D. student position is available to investigate these security issues in specific scenarios (e.g., smart homes, supply chain management) and to develop novel controls and techniques to detect, predict, and prevent security threats in the cyber-physical space. Novel technologies such as machine and deep learning, will be adapted and combined to reduce the risk of cyber-physical attacks.
Doctoral candidate should have a strong background in computer science or electronics. Preference will be given to those with a good understanding of cyber or cyber-physical security concepts.