Research Clusters

Digital Trust & Security activity is categorised into five principal clusters of activity. For more information about our steering group, click here.

Workplace Security

Led by Gerard P. Hodgkinson (2019/2020 Research Fellow: Michael Prentice; 2020/2021 Research Associate: to be announced).

The Workplace Security cluster focuses on institutional security, insider threats and supply chain security, and more broadly on the organisational psychology of crime, behavioural insights, SMEs, workplace security policies and surveillance, data monopolisation and the securitisation of work.

Trustworthy Digital Systems

Led by Lucas Cordeiro and Daniel Dresner.

This cluster focuses on developing tools, policies and practices to safeguard data and communication, including cryptography, human-machine symbiosis, and automated verification techniques and symbolic model checking algorithms to verify the correctness of embedded and cyber-physical systems. This cluster also focuses on critical decision-making systems, developing the design, analysis and monitoring of trustworthiness.

Digital Technologies and Crime

Led by Nicholas Lord (Research Fellow: David Buil-Gil).

The main focus of this cluster is on analysing and understanding criminal activity across the digital spectrum, including new vulnerabilities for victims of online fraud, data loss, and data exposure, serious and organised crimes such as modern slavery, money laundering, online child sexual exploitation, and drugs vending, and cybercrimes affecting businesses, citizens and global economies.

Privacy, Trust and Data Protection

Led by Mark Elliot. (2020/2021 Research Associate: to be announced) 

The main focus of this cluster is on anonymisation, data protection, privacy by design and responsible innovation. It also focuses on ethics, legal analytics, and social policy of statistical disclosure control, encryption and differential privacy, just in time consent systems, personal data stores, and user authentication.

Advanced Mathematics, Trust and Security

Led by Mark Kambites.

This cluster focuses on applying advanced mathematical theory and methods for cyber security, data protection and privacy, and trustworthy digital systems, and provides mathematical assistance to the entire Digital Trust & Security theme.