Evaluating Tooling and Methodology when Analysing Bitcoin Mixing Services After Forensic Seizure
Presentation / Conference
Young, E. H., Chrysoulas, C., Pitropakis, N., Papadopoulos, P., & Buchanan, W. J. (2021, October)
Evaluating Tooling and Methodology when Analysing Bitcoin Mixing Services After Forensic Seizure. Paper presented at International Conference on Data Analytics for Business and Industry (ICDABI) 2021 - (DATA'21), Online
Little or no research has been directed to analysis and researching forensic analysis of the Bitcoin mixing or 'tumbling' service themselves. This work is intended to examine ...
Practical defences against model inversion attacks for split neural networks
Presentation / Conference
Titcombe, T., Hall, A. J., Papadopoulos, P., & Romanini, D. (2021, May)
Practical defences against model inversion attacks for split neural networks. Paper presented at ICLR 2021 Workshop on Distributed and Private Machine Learning (DPML 2021), Online
We describe a threat model under which a split network-based federated learning system is susceptible to a model inversion attack by a malicious computational server. We demon...
PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN
Presentation / Conference
Romanini, D., Hall, A. J., Papadopoulos, P., Titcombe, T., Ismail, A., Cebere, T., …Hoeh, M. A. (2021, May)
PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN. Poster presented at ICLR 2021 Workshop on Distributed and Private Machine Learning (DPML 2021), Online
We introduce PyVertical, a framework supporting vertical federated learning using split neural networks. The proposed framework allows a data scientist to train neural network...
Machine Learning for Health and Social Care Demographics in Scotland
Presentation / Conference
Buchanan, W. J., Smales, A., Lawson, A., & Chute, C. (2019, November)
Machine Learning for Health and Social Care Demographics in Scotland. Paper presented at HEALTHINFO 2019, Valencia, Spain
This paper outlines an extensive study of applying machine learning to the analysis of publicly available health and social care data within Scotland, with a focus on learning...
The Importance of Authenticity in Cyber Security Training and Education
Presentation / Conference
Macfarlane, R., & Mata de Acuna, J. (2019, November)
The Importance of Authenticity in Cyber Security Training and Education. Presented at JISC Security Conference, Newcastle, England
The knowledge gap between academy and industry is a challenging issue that educators face every day. In the field of cyber security, it is important that students understand t...
Reliable and Energy-Efficient Two Levels Unequal Clustering Mechanism for Wireless Sensor Networks
Presentation / Conference
Ali, A. E., Al-Dubai, A., Romdhani, I., & Eshaftri, M. (2018, June)
Reliable and Energy-Efficient Two Levels Unequal Clustering Mechanism for Wireless Sensor Networks. Paper presented at The 16th IEEE International Conference on Smart City (IEEE SmartCity-2018), Exeter, UK
In Wireless Sensor Networks, clustering sensor nodes into disjoint groups is widely used to achieve load balance and increase network lifetime. In particular, traditional uneq...
Cloud Computing & Cyber Security
Presentation / Conference
Manoussos, B. (2018, April)
Cloud Computing & Cyber Security. Presented at The Law Society of Scotland - Law & Technology Roadshow, Glasgow
Presentation on Cloud Computing and Cyber Security in relation to Law Firms in Scotland.
Blockchain and Git repositories for sticky policies protected OOXML.
Presentation / Conference
Spyra, G., Buchanan, W. J. & Ekonomou, E. (2017, November)
Blockchain and Git repositories for sticky policies protected OOXML. Presented at FTC 2017 - Future Technologies Conference 2017, Vancouver, Canada
The paper discuss possible cloud-based
Information Rights Management (IRM) model extension with
enhanced accountability for both a sticky policy and an attached
data. This wor...
What role will wearables play in future healthcare?
Presentation / Conference
Thuemmler, C. (2017, November)
What role will wearables play in future healthcare?. Presented at Seminar on the future of Health care, Big Data and Wearables, Danish Parliament, Copenhagen
A better and more efficient health sector through digitalization and the use of Big Data – personalized treatment, prevention and diagnostics based on a more encompassing unde...
Large Scale Application Model potential of eHealth technology under 5G AP
Presentation / Conference
Thuemmler, C. (2017, September)
Large Scale Application Model potential of eHealth technology under 5G AP. Paper presented at IEEE 5G-IoT
No abstract available.