About Dr Matthew Banton
I am an Early Career researcher interested in cybersecurity, network anomaly detection AI, and Machine Learning. View my Orchid ID(opens in new tab).
Teaching and supervision
Interests
- Cybersecurity
- Network Anomaly Detection
- Machine Learning
- AI
Research
My PhD is in AI and Cybersecurity entitled A Deep Learning-based Approach to Identifying and Mitigating Network Attacks Within SDN Environments Using Non-standard Data Sources Network Anomaly Detection.
I am interested in:
- Network Anomaly Detection
- Machine Learning
- Artificial Intelligence
Further information
A Trust-Based Cooperative System for Efficient Wi-Fi Radio Access Networks IEEE Access 2023 | Journal article DOI: 10.1109/ACCESS.2023.3338177 Contributors: Alessandro Raschellà; Max Hashem Eiza; Michael Mackay; Qi Shi; Matthew Banton
Model-Based Security Assessment on the Design of a Patient-Centric Data Sharing Platform 2022 | Book chapter DOI: 10.1007/978-3-031-16011-0_5 Contributors: Matthew Banton; Thais Webber; Agastya Silvina; Juliana Bowles
Conflict-Free Access Rules for Sharing Smart Patient Health Records 2021 | Book chapter DOI: 10.1007/978-3-030-91167-6_3 Contributors: Matthew Banton; Juliana Bowles; Agastya Silvina; Thais Webber
Design of a Trustworthy and Resilient Data Sharing Platform for Healthcare Provision 2021 | Book chapter DOI: 10.1007/978-3-030-86507-8_14 Contributors: Matthew Banton; Juliana Bowles; Agastya Silvina; Thais Webber
Intrusion Detection Using Extremely Limited Data Based on SDN Proceedings of 2020 IEEE 10th International Conference on Intelligent Systems Intrusion 2020-08-28 | Conference paper DOI: 10.1109/IS48319.2020.9199950 Contributors Matthew Banton; Nathan Shone; William Hurst; Qi Shi
6th International Conference on Information and Communication Technologies for Disaster Management, ICT-DM 2019 2019-12-18 | Conference paper DOI: 10.1109/ICT-DM47966.2019.9032959 Contributors Matthew Banton; Nathan Shone; William Hurst; Qi Shi:
Visualising Network Anomalies in an Unsupervised Manner Using Deep Network Autoencoders The Fourth International Conference on Applications and Systems of Visual Paradigms VISUAL 2019 2019-06-30 | Conference paper Contributors Matthew Banton; Nathan Shone; William Hurst; Qi Shi