A new multi classifier system using entropy-based features in DDoS attack detection. - Abigail M. Y. Koay; Aaron Chen 001; Ian Welch; Winston K. G. Seah (ICOIN, 2018)

Fog-Assisted SDN Controlled Framework for Enduring Anomaly Detection in an IoT Network. - Qaisar B. Shafi; Abdul Basit 004; Saad B. Qaisar; Abigail M. Y. Koay; Ian Welch (IEEE Access, 2018)

(Short Paper) Effectiveness of Entropy-Based Features in High- and Low-Intensity DDoS Attacks Detection. - Abigail M. Y. Koay; Ian Welch; Winston K. G. Seah (IWSEC, 2019)

Maintaining SLOs of Cloud-Native Applications Via Self-Adaptive Resource Sharing. - Vladimir Podolskiy; Michael Mayo; Abigail M. Y. Koay; Michael Gerndt; Panos Patros (SASO, 2019)

Detecting High and Low Intensity Distributed Denial of Service (DDoS) Attacks. - Abigail M. Y. Koay (2019)

In Silico Comparison of Continuous Glucose Monitor Failure Mode Strategies for an Artificial Pancreas. - Yunjie Lisa Lu; Abigail M. Y. Koay; Michael Mayo (KDH@ECAI, 2020)

Embedding Java Classes with code2vec: Improvements from Variable Obfuscation. - Rhys Compton; Eibe Frank; Panos Patros; Abigail M. Y. Koay (MSR, 2020)

Comparison Of Pretrained Feature Extractors For Glaucoma Detection. - Hansi Gunasinghe; James McKelvie; Abigail M. Y. Koay; Michael Mayo (ISBI, 2021)

Plan2Defend: AI Planning for Cybersecurity in Smart Grids. - Taejun Choi; Ryan K. L. Ko; Tapan Kumar Saha; Joshua D. Scarsbrook; Abigail M. Y. Koay; Shunyao Wang; Wenlu Zhang; Connor St Clair (ISGT Asia, 2021)

SDGen: A Scalable, Reproducible and Flexible Approach to Generate Real World Cyber Security Datasets. - Abigail M. Y. Koay; Miao Xie; Ryan K. L. Ko; Charles Sterner; Taejun Choi; Naipeng Dong (UbiSec, 2021)

Domain Generalisation for Glaucoma Detection in Retinal Images from Unseen Fundus Cameras. - Hansi Gunasinghe; James McKelvie; Abigail M. Y. Koay; Michael Mayo (ACIIDS (2), 2022)

Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk Minimization. - Jonathan Wilton; Abigail M. Y. Koay; Ryan K. L. Ko; Miao Xu 001; Nan Ye (NeurIPS, 2022)

Benchmarking and learning garbage collection delays for resource-restricted graphical user interfaces. - Harry McCarthy; Abigail M. Y. Koay; Michael Dawson 001; Kenneth B. Kent; Panos Patros (Softw. Pract. Exp., 2022)

Machine learning in industrial control system (ICS) security: current landscape, opportunities and challenges. - Abigail M. Y. Koay; Ryan K. L. Ko; Hinne Hettema; Kenneth Radke (J. Intell. Inf. Syst., 2023)

Mining Irregular Time Series Data with Noisy Labels: A Risk Estimation Approach. - Kun Han; Abigail M. Y. Koay; Ryan K. L. Ko; Weitong Chen 001; Miao Xu 001 (ADC, 2024)

AI hype as a cyber security risk: the moral responsibility of implementing generative AI in business. - Declan Humphreys; Abigail M. Y. Koay; Dennis Desmond; Erica Mealy (AI Ethics, 2024)

Adapting to the stream: an instance-attention GNN method for irregular multivariate time series data. - Kun Han; Abigail M. Y. Koay; Ryan K. L. Ko; Weitong Chen 001; Miao Xu 001 (Frontiers Comput. Sci., 2025)