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| Funder | Engineering and Physical Sciences Research Council |
|---|---|
| Recipient Organization | University of Southampton |
| Country | United Kingdom |
| Start Date | Sep 30, 2024 |
| End Date | Sep 22, 2028 |
| Duration | 1,453 days |
| Number of Grantees | 2 |
| Roles | Student; Supervisor |
| Data Source | UKRI Gateway to Research |
| Grant ID | 2927631 |
Cyber-attacks in multi-domain environments present a critical challenge due to the interconnected nature of modern systems, spanning across the human, cyber and digital aspects. These attacks exploit vulnerabilities across domains, posing significant risks to critical infrastructure, national security, and economic stability. As cyber threats grow in sophistication, our need to address this problem becomes increasingly urgent.
In this PhD project, you will:
- Formalize and represent the threat model of complex systems, considering both cyber and physical aspects, and the human element.
- Use techniques like Attack Trees and Bayesian Attack Trees to predict attack stages and identify compromised components. - Incorporate methodologies for automatic risk modeling to calculate and predict the impact of attacks.
You will explore the interconnected nature of modern systems spanning across the human, cyber and digital aspects. By understanding how threats propagate and interact, you will develop comprehensive models that also include the often-overlooked human aspect. These models will help predict the next stages of an attack and understand the risk levels of analyzed systems.
Additionally, you will build a testbed to emulate attacks on cyber-physical systems and a software platform to simulate complex systems. These tools will visually represent attacker movements and damages, offering insights into preventive and mitigative measures.
University of Southampton
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