Misbehaviour monitoring on system-of-systems components. - Nathan Shone; Qi Shi 001; Madjid Merabti; Kashif Kifayat (CRiSIS, 2013)

Towards Efficient Collaborative Behavioural Monitoring in a System-of-Systems. - Nathan Shone; Qi Shi 001; Madjid Merabti; Kashif Kifayat (UIC/ATC, 2013)

Detecting misbehaviour in a complex system-of-systems environment. - Nathan Shone (2014)

Rail Internet of Things: An Architectural Platform and Assured Requirements Model. - Mahmoud Hashem Eiza; Martin Randles; Princy Johnson; Nathan Shone; Jennifer Pang; Amhmed Bhih (CIT/IUCC/DASC/PICom, 2015)

Predicting the Effects of DDoS Attacks on a Network of Critical Infrastructures. - William Hurst; Nathan Shone; Quentin Monnet (CIT/IUCC/DASC/PICom, 2015)

Digital Memories Based Mobile User Authentication for IoT. - Nathan Shone; Chelsea Dobbins; William Hurst; Qi Shi 001 (CIT/IUCC/DASC/PICom, 2015)

Secure proximity-based identity pairing using an untrusted signalling service. - Tim Panton; David Llewellyn-Jones; Nathan Shone; Mahmoud Hashem Eiza (CCNC, 2016)

Critical Infrastructure Testbed for Cyber-Security Training and Research. - William Hurst; Nathan Shone; Qi Shi 001 (UKAIS, 2016)

A Deep Learning Approach to Network Intrusion Detection. - Nathan Shone; Nguyen Ngoc Tran; Vu Dinh Phai; Qi Shi 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2018)

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)

Behaviour-aware Malware Classification: Dynamic Feature Selection. - Vu Dinh Phai; Nathan Shone; Phan Huy Dung; Qi Shi 001; Nguyen Viet Hung; Nguyen Ngoc Tran (KSE, 2019)

Detecting Malware Based on Dynamic Analysis Techniques Using Deep Graph Learning. - Nguyen Minh Tu; Nguyen Viet Hung; Phan Viet Anh; Cao Van Loi; Nathan Shone (FDSE, 2020)

Towards an Approach for Fuel Poverty Detection from Gas Smart Meter Data using Decision Tree Learning. - William Hurst; Casimiro Aday Curbelo Montañez; Nathan Shone (IMMS, 2020)

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

An Ensemble Detection Model Using Multinomial Classification of Stochastic Gas Smart Meter Data to Improve Wellbeing Monitoring in Smart Cities. - William Hurst; Casimiro Aday Curbelo Montañez; Nathan Shone; Dhiya Al-Jumeily (IEEE Access, 2020)

Patient Privacy Violation Detection in Healthcare Critical Infrastructures: An Investigation Using Density-Based Benchmarking. - William Hurst; Aaron Boddy; Madjid Merabti; Nathan Shone (Future Internet, 2020)

A Novel Deep Clustering Variational Auto-Encoder for Anomaly-based Network Intrusion Detection. - Van Quan Nguyen; Viet Hung Nguyen; Tuan Hao Hoang; Nathan Shone (KSE, 2022)

Deep Nested Clustering Auto-Encoder for Anomaly-Based Network Intrusion Detection. - Van Quan Nguyen; Thanh Long Ngo; Le Minh Nguyen 001; Viet Hung Nguyen; Nathan Shone (RIVF, 2023)

Deep clustering hierarchical latent representation for anomaly-based cyber-attack detection. - Van Quan Nguyen; Long Thanh Ngo; Le Minh Nguyen 001; Viet Hung Nguyen; Nathan Shone (Knowl. Based Syst., 2024)

Using deep graph learning to improve dynamic analysis-based malware detection in PE files. - Nguyen Minh Tu; Viet Hung Nguyen; Nathan Shone (J. Comput. Virol. Hacking Tech., 2024)

Comparative Analysis of SNN and CNN Models for Energy Efficient Intrusion Detection. - Alina Fesu; Nathan Shone; Áine MacDermott; Bo Zhou; Max Eiza (NTMS, 2025)

A Collaborative Intrusion Detection System Using Snort IDS Nodes. - Tom Davies 002; Max Hashem Eiza; Nathan Shone; Rob Lyon (CoRR, 2025)