A Fresh Look at Combining Logs and Network Data to Detect Anomalous Activity. - Matthew Banton; Nathan Shone; William Hurst; Qi Shi 001 (ICT-DM, 2019)

Intrusion Detection Using Extremely Limited Data Based on SDN. - Matthew Banton; Nathan Shone; William Hurst; Qi Shi 001 (IEEE Conf. on Intelligent Systems, 2020)

Model-Based Security Assessment on the Design of a Patient-Centric Data Sharing Platform. - Matthew Banton; Thais Webber; Agastya Silvina; Juliana Bowles (DataMod, 2021)

Design of a Trustworthy and Resilient Data Sharing Platform for Healthcare Provision. - Matthew Banton; Juliana Bowles; Agastya Silvina; Thais Webber (EDCC Workshops, 2021)

Conflict-Free Access Rules for Sharing Smart Patient Health Records. - Matthew Banton; Juliana Bowles; Agastya Silvina; Thais Webber (RuleML+RR, 2021)

On the Benefits and Security Risks of a User-Centric Data Sharing Platform for Healthcare Provision. - Matthew Banton; Juliana Bowles; Agastya Silvina; Thais Webber (UMAP (Adjunct Publication), 2021)

A deep learning-based approach to identifying and mitigating network attacks within SDN environments using non-standard data sources. - Matthew Banton (2021)

A Trust-Based Cooperative System for Efficient Wi-Fi Radio Access Networks. - Alessandro Raschellà; Max Hashem Eiza; Michael Mackay 001; Qi Shi 001; Matthew Banton (IEEE Access, 2023)