Using Ontological Ideas to Facilitate the Comparison of Requirements Elicitation Methods. - Michael N. Johnstone; Donald C. McDermid (ACIS, 2001)

Shared Use of Diagrams in Requirements Elicitation: roles, expectations and behaviours. - Michael N. Johnstone; Donald C. McDermid; John Venable 001 (ACIS, 2002)

Extending the Business Rules Diagram Method to Web Based System Design. - Michael N. Johnstone; Donald C. McDermid; John R. Venable (ACIS, 2003)

Towards Effective Algorithms for Intelligent Defense Systems. - Michael N. Johnstone; Andrew Woodward (CSS, 2012)

Security Aspects of Military Sensor-Based Defence Systems. - Michael N. Johnstone; Robert Thompson (TrustCom/ISPA/IUCC, 2013)

Controlled Android Application Execution for the IoT Infrastructure. - Michael N. Johnstone; Zubair A. Baig; Peter Hannay; Clinton Carpene; Malik Feroze (IoT 360 (1), 2015)

Security Issues with BACnet Value Handling. - Matthew Peacock; Michael N. Johnstone; Craig Valli (ICISSP, 2017)

An Exploration of Some Security Issues Within the BACnet Protocol. - Matthew Peacock; Michael N. Johnstone; Craig Valli (ICISSP (Revised Selected Papers), 2017)

The effectiveness of classification algorithms on IPv6 IID construction. - Clinton Carpene; Michael N. Johnstone; Andrew Woodward (Int. J. Auton. Adapt. Commun. Syst., 2017)

Revisiting Urban War Nibbling: Mobile Passive Discovery of Classic Bluetooth Devices Using Ubertooth One. - Maxim Chernyshev; Craig Valli; Michael N. Johnstone (IEEE Trans. Inf. Forensics Secur., 2017)

A Cancelable Iris- and Steganography-Based User Authentication System for the Internet of Things. - Wencheng Yang; Song Wang 003; Jiankun Hu; Ahmed Ibrahim 002; Guanglou Zheng; Marcelo Jose Macedo; Michael N. Johnstone; Craig Valli (Sensors, 2019)

Secure Fingerprint Authentication with Homomorphic Encryption. - Wencheng Yang; Song Wang 003; Kan Yu; James Jin Kang; Michael N. Johnstone (DICTA, 2020)

Australian Attitudes Towards Privacy of Information: Will COVID-19 Make a Difference? - Leah Shanley; Michael N. Johnstone; Michael Crowley; Patryk Szewczyk (HAISA, 2020)

A Comparative Study of ML-ELM and DNN for Intrusion Detection. - Wencheng Yang; Song Wang 003; Michael N. Johnstone (ACSW, 2021)

Enhancement of Healthcare Data Performance Metrics using Neural Network Machine Learning Algorithms. - Qi An; Patryk Szewczyk; Michael N. Johnstone; James Jin Kang (ITNAC, 2021)

Detection of Induced False Negatives in Malware Samples. - Adrian Wood; Michael N. Johnstone (PST, 2021)

Towards Evaluating the Effectiveness of Botnet Detection Techniques. - Ashley Woodiss-Field; Michael N. Johnstone; Paul S. Haskell-Dowland (UbiSec, 2021)

A Low-Cost Machine Learning Based Network Intrusion Detection System with Data Privacy Preservation. - Jyoti Fakirah; Lauhim Mahfuz Zishan; Roshni Mooruth; Michael N. Johnstone; Wencheng Yang (CoRR, 2021)

A Survey of Australian Attitudes Towards Privacy: Some Preliminary Results. - Leah Shanley; Michael N. Johnstone; Patryk Szewczyk; Michael Crowley (HAISA, 2022)

A linear convolution-based cancelable fingerprint biometric authentication system. - Wencheng Yang; Song Wang 003; James Jin Kang; Michael N. Johnstone; Aseel Bedari (Comput. Secur., 2022)

Matrix Profile data mining for BGP anomaly detection. - Ben Scott; Michael N. Johnstone; Patryk Szewczyk; Steven Richardson (Comput. Networks, 2024)

Examination of Traditional Botnet Detection on IoT-Based Bots. - Ashley Woodiss-Field; Michael N. Johnstone; Paul Dowland 001 (Sensors, 2024)

Voice Synthesis Improvement by Machine Learning of Natural Prosody. - Joseph Kane; Michael N. Johnstone; Patryk Szewczyk (Sensors, 2024)

A Survey of Advanced Border Gateway Protocol Attack Detection Techniques. - Ben Scott; Michael N. Johnstone; Patryk Szewczyk (Sensors, 2024)

BGP anomaly detection as a group dynamics problem. - Ben Scott; Michael N. Johnstone; Patryk Szewczyk; Steven Richardson (Comput. Networks, 2025)