The Development of Constructive Alignment in Activity Led Learning and Assessment of Digital Forensics. - Robert Bird 001; Madeline Cheah (WCCCE, 2014)

Combining Third Party Components Securely in Automotive Systems. - Madeline Cheah; Siraj A. Shaikh; Jeremy W. Bryans; Hoang Nga Nguyen (WISTP, 2016)

Threat Intelligence for Bluetooth-Enabled Systems with Automotive Applications: An Empirical Study. - Madeline Cheah; Jeremy W. Bryans; Daniel S. Fowler; Siraj Ahmed Shaikh (DSN Workshops, 2017)

Towards a Testbed for Automotive Cybersecurity. - Daniel S. Fowler; Madeline Cheah; Siraj Ahmed Shaikh; Jeremy W. Bryans (ICST, 2017)

Formalising Systematic Security Evaluations Using Attack Trees for Automotive Applications. - Madeline Cheah; Hoang Nga Nguyen; Jeremy W. Bryans; Siraj A. Shaikh (WISTP, 2017)

Towards a systematic security evaluation of the automotive Bluetooth interface. - Madeline Cheah; Siraj A. Shaikh; Olivier C. L. Haas; Alastair R. Ruddle (Veh. Commun., 2017)

Building an automotive security assurance case using systematic security evaluations. - Madeline Cheah; Siraj A. Shaikh; Jeremy W. Bryans; Paul Wooderson (Comput. Secur., 2018)

Towards a systematic security evaluation of the automotive Bluetooth interface. - Madeline Cheah (2018)

Context-aware Anomaly Detector for Monitoring Cyber Attacks on Automotive CAN Bus. - Harsha Kumara Kalutarage; M. Omar Al-Kadri; Madeline Cheah; Garikayi Madzudzo (CSCS, 2019)

Enabling Security Checking of Automotive ECUs with Formal CSP Models. - John Heneghan; Siraj Ahmed Shaikh; Jeremy W. Bryans; Madeline Cheah; Paul Wooderson (DSN Workshops, 2019)

Generation of Pedestrian Pose Structures using Generative Adversarial Networks. - James Spooner; Madeline Cheah; Vasile Palade; Stratis Kanarachos; Alireza Daneshkhah (ICMLA, 2019)

Performance Boundary Identification for the Evaluation of Automated Vehicles using Gaussian Process Classification. - Felix Batsch; Alireza Daneshkhah; Madeline Cheah; Stratis Kanarachos; Anthony Baxendale (ITSC, 2019)

A Method for Constructing Automotive Cybersecurity Tests, a CAN Fuzz Testing Example. - Daniel S. Fowler; Jeremy W. Bryans; Madeline Cheah; Paul Wooderson; Siraj A. Shaikh (QRS Companion, 2019)

Classification of a Pedestrian's Behaviour Using Dual Deep Neural Networks. - James Spooner; Madeline Cheah; Vasile Palade; Stratis Kanarachos; Alireza Daneshkhah (SAI (3), 2020)

A taxonomy of validation strategies to ensure the safe operation of highly automated vehicles. - Felix Batsch; Stratis Kanarachos; Madeline Cheah; Roberto Ponticelli; Mike Blundell 001 (J. Intell. Transp. Syst., 2022)

CO-DECYBER: Co-operative Decision Making for Cybersecurity Using Deep Multi-agent Reinforcement Learning. - Madeline Cheah; Jack Stone; Peter Haubrick; Samuel Bailey; David Rimmer; Demian Till; Matt Lacey; Jo Kruczynska; Mark Dorn (ESORICS Workshops (2), 2023)

AI-Based Intrusion Detection Systems for In-Vehicle Networks: A Survey. - Sampath Rajapaksha; Harsha K. Kalutarage; M. Omar Al-Kadri; Andrei Petrovski 001; Garikayi Madzudzo; Madeline Cheah (ACM Comput. Surv., 2023)

Towards autonomous cyber-defence: using co-operative decision making for cybersecurity. - Madeline Cheah; Jack Stone; Samuel Bailey; Peter Haubrick; David Rimmer; Matt Lacey; Mark Dorn (CAMLIS, 2024)