Cyber security and resilient systems (CSRS)

We investigate the security implications of emerging AI technologies, including large language models (LLMs), generative AI, autonomous agents, and synthetic media.

Research includes cyber security considerations for institutional deployment of GPT technologies, deepfake detection and analysis, AI-enabled misinformation, explainable AI (XAI), and the development of trustworthy and responsible AI systems.

Our researchers develop intelligent techniques for detecting, understanding, and mitigating cyber threats. This includes collaborative intrusion detection systems (NIDS/HIDS), malware analysis, anomaly detection, threat intelligence, cyber deception, and real-time decision-making tools that support security analysts and operational teams.

Our research spans digital forensics and incident response, encompassing forensic investigatory practice, the analysis of computers, mobile devices, IoT and cloud environments, and approaches to incident detection, response, and forensic readiness.

A key strength of the group is deepfake and multimedia forensics, where we develop methods to detect, authenticate, analyse, and attribute manipulated images, audio, video, and multimodal content.

By combining digital forensic science, artificial intelligence, and cyber threat intelligence, we enhance investigative capabilities, support operational decision-making, and strengthen resilience against cyber threats, misinformation, and AI-enabled deception.

We examine the security challenges within modern communication networks, including wireless systems, software-defined networking, O-RAN architectures, and future 6G environments. Research addresses authentication, trust management, resilience, attack detection, and secure network orchestration.

As connected devices become increasingly embedded within society, our research explores the security, privacy, and resilience of IoT ecosystems, cyber-physical systems, edge computing platforms, and cloud-native infrastructures. We focus on scalable approaches that enable secure operation in distributed environments.

We develop privacy-enhancing technologies and cryptographic solutions that support secure and trustworthy digital services. Our work includes post-quantum cryptography, privacy-preserving protocols, secure identity management, blockchain technologies, and methods that support compliance with evolving regulatory frameworks.

The group investigates security and resilience across emerging intelligent ecosystems, including smart cities, connected vehicles, Vehicle-to-Grid (V2G) systems, digital twins, and cyber-physical infrastructures. We seek to improve the ability of systems to withstand, adapt to, and recover from cyber-attacks and operational disruptions.

Recognising that security extends beyond technology alone, we explore the interaction between people, organisations, and digital systems. This includes decision-support systems, cyber awareness, risk communication, digital trust, and the human factors influencing cyber resilience.

We pursue research at the intersection of cyber security and emerging technologies, including blockchain systems, brain-computer interfaces, intelligent autonomous systems, and next-generation digital infrastructures.

Through interdisciplinary collaboration, we seek to anticipate future threats and opportunities before they become mainstream challenges.