My research interests intersect Cyber Security, Machine Learning and Visual Analytics. In particular, I am interested in how we can use Machine Learning for Cyber Security, whilst ensuring that learning algorithms are robust to adversaries (e.g., "insider" threats, or those who can craft adversarial inputs). I'm also interested in how interactive ML can be used with visualisation to better facilitate cyber security analysts, creating a greater collaborative effort between human and machine analysis. Lastly, I have recently been interested in how ML can be used for cyber security defence, including the dynamic generation of deception networks, and the use of federated learning for increased privacy preservation in machine learning across distributed networks. My research has been successfully funded from a variety of external sources including UK Government and UK-based SMEs. Publication details are available on Google Scholar, or you can view my full academic profile.

Selected Research Projects

SCOUT: Fully automated enhanced risk assessment engine

How can machine learning be used to form greater understanding of complex and incomplete data attributes related to cyber crime, anti-money laundering, and counter-terrorism financing?
Collaboration with Synalogik Ltd.
Funded by InnovateUK.
More details

CAVForth Cyber Security

What are the cyber security issues related to connected autonomous vehicles, and how can we mitigate against these in provided a fully-automated public transport service?
Collaboration with Fusion Processing Ltd. and the Bristol Robotics Laboratory.
Funded by Centre for Connected Autonomous Vehicles and InnovateUK.
More details

HASTE: Human-centric active-learning for decision support in threat exploration

How can machine learning help us to understand human decision making processes? How do we incorporate human knowledge with machine learning? How do humans explore and interact with machine learning processes?
Funded by the DSTL Defence and Security Accelerator (DASA).

RicherPicture: Automated network defence through business and threat-led machine learning

How can we better understand, and better protect, our organisational situation awareness through business and threat-led machine learning?
Collaboration with Cyber Security Oxford.
Funded by the Defence Science and Technology Laboratory (DSTL).

ePSA: Enhanced Cyber Security through Personal Situational Awareness

How can we enhance our understanding and control of what information our devices are sharing out, and to whom they may be sharing?
Funded by UWE Vice Chancellor's Early Career Researcher Award

Visualising the Insider Threat

How can visual analytics support and relay human intution back into machine learning detection tools?
Funded by UWE Faculty of Environment and Technology

Research Supervision

I currently supervise 4 PhD students in Machine Learning and Cyber Security, who as part of their research activities work collaboratively with UK-based SMEs.

Andrew McCarthy

Building Trust through Interactive Inspection of Adversarial Machine Learning Attacks.
Collaborative research project with Techmodal Ltd.

Gwyn Wilkinson

Shared Collaborative Project Planning in Secure Federated Learning Environments.
Collaborative research project with Techmodal Ltd.

Yawei Yue

Security and Privacy Behaviour Modelling and Analysing in the Internet of Things (IoT)


MORRIGU - Anti-Evasion Malware Analysis:
Sample Dataset