Differential Area Analysis for Ransomware Attack Detection within Mixed File Datasets
Journal Article
Davies, S. R., Macfarlane, R., & Buchanan, W. J. (2021)
Differential Area Analysis for Ransomware Attack Detection within Mixed File Datasets. Computers and Security, 108, https://doi.org/10.1016/j.cose.2021.102377
The threat from ransomware continues to grow both in the number of affected victims as well as the cost incurred by the people and organisations impacted in a successful attac...
Newly Engineered Energy-based Features for Supervised Anomaly Detection in a Physical Model of a Water Supply System
Journal Article
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., Russell, G., & Tan, Z. (2021)
Newly Engineered Energy-based Features for Supervised Anomaly Detection in a Physical Model of a Water Supply System . Ad hoc networks, 120, https://doi.org/10.1016/j.adhoc.2021.102590
Industrial Control Systems (ICS) are hardware, network, and software, upon which a facility depends to allow daily operations to function. In most cases society takes the oper...
Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT
Journal Article
Papadopoulos, P., Thornewill Von Essen, O., Pitropakis, N., Chrysoulas, C., Mylonas, A., & Buchanan, W. J. (2021)
Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT. Journal of Cybersecurity and Privacy, 1(2), 252-273. https://doi.org/10.3390/jcp1020014
As the internet continues to be populated with new devices and emerging technologies, the attack surface grows exponentially. Technology is shifting towards a profit-driven In...
A Comparative Analysis of Honeypots on Different Cloud Platforms
Journal Article
Kelly, C., Pitropakis, N., Mylonas, A., McKeown, S., & Buchanan, W. J. (2021)
A Comparative Analysis of Honeypots on Different Cloud Platforms. Sensors, 21(7), https://doi.org/10.3390/s21072433
In 2019, the majority of companies used at least one cloud computing service and it is expected that by the end of 2021, cloud data centres will process 94% of workloads. The ...
Privacy and Trust Redefined in Federated Machine Learning
Journal Article
Papadopoulos, P., Abramson, W., Hall, A. J., Pitropakis, N., & Buchanan, W. J. (2021)
Privacy and Trust Redefined in Federated Machine Learning. Machine Learning and Knowledge Extraction, 3(2), 333-356. https://doi.org/10.3390/make3020017
A common privacy issue in traditional machine learning is that data needs to be disclosed for the training procedures. In situations with highly sensitive data such as healthc...
Machine Learning-driven Optimization for SVM-based Intrusion Detection System in Vehicular Ad Hoc Networks
Journal Article
Alsarhan, A., Alauthman, M., Alshdaifat, E., Al-Ghuwairi, A., & Al-Dubai, A. (in press)
Machine Learning-driven Optimization for SVM-based Intrusion Detection System in Vehicular Ad Hoc Networks. Journal of Ambient Intelligence and Humanized Computing, https://doi.org/10.1007/s12652-021-02963-x
Machine Learning (ML) driven solutions have been widely used to secure wireless communications Vehicular ad hoc networks (VANETs) in recent studies. Unlike existing works, thi...
An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks
Journal Article
Churcher, A., Ullah, R., Ahmad, J., Ur Rehman, S., Masood, F., Gogate, M., …Buchanan, W. J. (2021)
An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks. Sensors, 21(2), Article 446. https://doi.org/10.3390/s21020446
In recent years, there has been a massive increase in the amount of Internet of Things (IoT) devices as well as the data generated by such devices. The participating devices i...
Phishing URL Detection Through Top-Level Domain Analysis: A Descriptive Approach
Conference Proceeding
Christou, O., Pitropakis, N., Papadopoulos, P., Mckeown, S., & Buchanan, W. J. (2020)
Phishing URL Detection Through Top-Level Domain Analysis: A Descriptive Approach. In Proceedings of the 6th International Conference on Information Systems Security and Privacy. , (289-298). https://doi.org/10.5220/0008902202890298
Phishing is considered to be one of the most prevalent cyber-attacks because of its immense flexibility and alarmingly high success rate. Even with adequate training and high ...
Understanding Personal Online Risk To Individuals Via Ontology Development
Conference Proceeding
Haynes, D. (2020)
Understanding Personal Online Risk To Individuals Via Ontology Development. In Knowledge Organization at the Interface: Proceedings of the Sixteenth International ISKO Conference, 2020, Aalborg, Denmark (171-180). https://doi.org/10.5771/9783956507762-171
The concept of risk is widely misunderstood because of the different contexts in which it is used. This paper describes the development of an ontology of risk as a way of bett...
Privacy-preserving Surveillance Methods using Homomorphic Encryption
Conference Proceeding
Bowditch, W., Abramson, W., Buchanan, W. J., Pitropakis, N., & Hall, A. J. (2020)
Privacy-preserving Surveillance Methods using Homomorphic Encryption. In ICISSP: Proceedings of the 6th International Conference on Information Systems Security and Privacy. , (240-248). https://doi.org/10.5220/0008864902400248
Data analysis and machine learning methods often involve the processing of cleartext data, and where this could breach the rights to privacy. Increasingly, we must use encrypt...