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Michael N. Johnstone
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2020 – today
- 2025
- [j9]Ben Scott, Michael N. Johnstone, Patryk Szewczyk, Steven Richardson:
BGP anomaly detection as a group dynamics problem. Comput. Networks 257: 110926 (2025) - 2024
- [j8]Ben Scott, Michael N. Johnstone, Patryk Szewczyk, Steven Richardson:
Matrix Profile data mining for BGP anomaly detection. Comput. Networks 242: 110257 (2024) - [j7]Ashley Woodiss-Field, Michael N. Johnstone, Paul Dowland:
Examination of Traditional Botnet Detection on IoT-Based Bots. Sensors 24(3): 1027 (2024) - [j6]Joseph Kane, Michael N. Johnstone, Patryk Szewczyk:
Voice Synthesis Improvement by Machine Learning of Natural Prosody. Sensors 24(5): 1624 (2024) - [j5]Ben Scott, Michael N. Johnstone, Patryk Szewczyk:
A Survey of Advanced Border Gateway Protocol Attack Detection Techniques. Sensors 24(19): 6414 (2024) - 2022
- [j4]Wencheng Yang, Song Wang, James Jin Kang, Michael N. Johnstone, Aseel Bedari:
A linear convolution-based cancelable fingerprint biometric authentication system. Comput. Secur. 114: 102583 (2022) - [c15]Leah Shanley, Michael N. Johnstone, Patryk Szewczyk, Michael Crowley:
A Survey of Australian Attitudes Towards Privacy: Some Preliminary Results. HAISA 2022: 228-239 - [i2]Qi An, Patryk Szewczyk, Michael N. Johnstone, James Jin Kang:
Enhancement of Healthcare Data Performance Metrics using Neural Network Machine Learning Algorithms. CoRR abs/2201.05962 (2022) - 2021
- [c14]Wencheng Yang, Song Wang, Michael N. Johnstone:
A Comparative Study of ML-ELM and DNN for Intrusion Detection. ACSW 2021: 1:1-1:7 - [c13]Qi An, Patryk Szewczyk, Michael N. Johnstone, James Jin Kang:
Enhancement of Healthcare Data Performance Metrics using Neural Network Machine Learning Algorithms. ITNAC 2021: 172-179 - [c12]Adrian Wood, Michael N. Johnstone:
Detection of Induced False Negatives in Malware Samples. PST 2021: 1-6 - [c11]Ashley Woodiss-Field, Michael N. Johnstone, Paul S. Haskell-Dowland:
Towards Evaluating the Effectiveness of Botnet Detection Techniques. UbiSec 2021: 292-308 - [i1]Jyoti Fakirah, Lauhim Mahfuz Zishan, Roshni Mooruth, Michael N. Johnstone, Wencheng Yang:
A Low-Cost Machine Learning Based Network Intrusion Detection System with Data Privacy Preservation. CoRR abs/2107.02362 (2021) - 2020
- [c10]Wencheng Yang, Song Wang, Kan Yu, James Jin Kang, Michael N. Johnstone:
Secure Fingerprint Authentication with Homomorphic Encryption. DICTA 2020: 1-6 - [c9]Leah Shanley, Michael N. Johnstone, Michael Crowley, Patryk Szewczyk:
Australian Attitudes Towards Privacy of Information: Will COVID-19 Make a Difference? HAISA 2020: 3-15
2010 – 2019
- 2019
- [j3]Wencheng Yang, Song Wang, Jiankun Hu, Ahmed Ibrahim, Guanglou Zheng, Marcelo Jose Macedo, Michael N. Johnstone, Craig Valli:
A Cancelable Iris- and Steganography-Based User Authentication System for the Internet of Things. Sensors 19(13): 2985 (2019) - 2017
- [j2]Clinton Carpene, Michael N. Johnstone, Andrew Woodward:
The effectiveness of classification algorithms on IPv6 IID construction. Int. J. Auton. Adapt. Commun. Syst. 10(1): 15-22 (2017) - [j1]Maxim Chernyshev, Craig Valli, Michael N. Johnstone:
Revisiting Urban War Nibbling: Mobile Passive Discovery of Classic Bluetooth Devices Using Ubertooth One. IEEE Trans. Inf. Forensics Secur. 12(7): 1625-1636 (2017) - [c8]Matthew Peacock, Michael N. Johnstone, Craig Valli:
An Exploration of Some Security Issues Within the BACnet Protocol. ICISSP (Revised Selected Papers) 2017: 252-272 - [c7]Matthew Peacock, Michael N. Johnstone, Craig Valli:
Security Issues with BACnet Value Handling. ICISSP 2017: 546-552 - 2015
- [c6]Michael N. Johnstone, Zubair A. Baig, Peter Hannay, Clinton Carpene, Malik Feroze:
Controlled Android Application Execution for the IoT Infrastructure. IoT 360 (1) 2015: 16-26 - 2013
- [c5]Michael N. Johnstone, Robert Thompson:
Security Aspects of Military Sensor-Based Defence Systems. TrustCom/ISPA/IUCC 2013: 302-309 - 2012
- [c4]Michael N. Johnstone, Andrew Woodward:
Towards Effective Algorithms for Intelligent Defense Systems. CSS 2012: 498-508
2000 – 2009
- 2003
- [c3]Michael N. Johnstone, Donald C. McDermid, John R. Venable:
Extending the Business Rules Diagram Method to Web Based System Design. ACIS 2003 - 2002
- [c2]Michael N. Johnstone, Donald C. McDermid, John Venable:
Shared Use of Diagrams in Requirements Elicitation: roles, expectations and behaviours. ACIS 2002 - 2001
- [c1]Michael N. Johnstone, Donald C. McDermid:
Using Ontological Ideas to Facilitate the Comparison of Requirements Elicitation Methods. ACIS 2001
Coauthor Index
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last updated on 2024-12-12 21:02 CET by the dblp team
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