Cybersecurity and privacy
Our Centre for Cyber Security Research (CCSR) offers a holistic, integrated and theoretically informed approach to human and technical cyber security.
Our leading academic team carries out research and innovation in cyber security analytics and artificial intelligence, i.e. the interpretation and effective communication of applied data science and AI methods through interdisciplinary insights into cyber risk, threat intelligence, attack detection and situational awareness drawn from computer science, data science, psychology, criminology and international relations.
We regularly publish work in world leading publications and have a strong PhD track record, and our grant income is approximately £20 million, with over £4.5 million secured to sustain research within our centre between 2023 and 2028.
We have a world-class testbed in our state-of-the-art Abacws building, consisting of a scalable cyber range and various cyber-physical systems that are representative of real-world IT and operational technology systems, on which we train our students and validate our research outcomes.
The new Cyber Attack and Defence Lab in Abacws brings cyber to life, with a £2 million investment in various realistic testbeds, including a mini-manufacturing production line, smart city, connected vehicle and rail link (which we think of as 'connected digital twins'). These enable virtualised networks where a ransomware attack can happen in real-time, and students and researchers learn how to deal with it.
Within this scope we have a number of core research themes including:
- Artificial Intelligence-driven Security Operations & Incident Management: Focusing on early detection and automated responses to cyber attacks
- Risk Management & Governance: Investigating goal-oriented risk, process and impact modelling, linked to data-driven intelligence
- Human Factors: Focusing on individuals’ susceptibility to attack, cognitive aspects, and organised cybercrime
- Cyber Physical Systems Security and Resilience: Detecting digital and physical indicators of compromise and mitigating attacks
- Privacy and Distributed Systems Security: Ensuring privacy by design, whether in machine learning-based systems, or by improving transparency and trust in distributed (e.g. Cloud) and autonomous (e.g. vehicular) systems
Explore our research groups
Research lead
We maintain a range of facilities including dedicated resources for high performance computing, internet of things, 3D face scanning and computational music.