A Preliminary Scoping Study of Federated Learning for the Internet of Medical Things
Book Chapter
Farhad, A., Woolley, S. I., & Andras, P. (2021)
A Preliminary Scoping Study of Federated Learning for the Internet of Medical Things. In J. Mantas, L. Stoicu-Tivadar, C. Chronaki, A. Hasman, P. Weber, P. Gallos, …O. Sorina Chirila (Eds.), Public Health and Informatics (504-505). Amsterdam: IOS Press. https://doi.org/10.3233/SHTI210216
This paper presents a scoping review of federated learning for the Internet of Medical Things (IoMT) and demonstrates the limited amount of research work in an area which has ...
VNWTS: A Virtual Water Chlorination Process for Cybersecurity Analysis of Industrial Control Systems
Conference Proceeding
Robles Durazno, A., Moradpoor, N., McWhinnie, J., & Porcel-Bustamante, J. (2021)
VNWTS: A Virtual Water Chlorination Process for Cybersecurity Analysis of Industrial Control Systems. In 2021 14th International Conference on Security of Information and Networks (SIN). https://doi.org/10.1109/SIN54109.2021.9699375
The rapid development of technology during the last decades has led to the integration of the network capabilities in the devices that are essential in the operation of Indust...
Compounding barriers to fairness in the digital technology ecosystem
Conference Proceeding
Woolley, S. I., Collins, T., Andras, P., Gardner, A., Ortolani, M., & Pitt, J. (2021)
Compounding barriers to fairness in the digital technology ecosystem. In 2021 IEEE International Symposium on Technology and Society (ISTAS). https://doi.org/10.1109/istas52410.2021.9629166
A growing sense of unfairness permeates our quasi-digital society. Despite drivers supporting and motivating ethical practice in the digital technology ecosystem, there are co...
Enhancing the practicality of tools to estimate the whole life embodied carbon of building structures via machine-learning models
Journal Article
Pomponi, F., Luque Anguita, M., Lange, M., D'Amico, B., & Hart, E. (2021)
Enhancing the practicality of tools to estimate the whole life embodied carbon of building structures via machine-learning models. Frontiers in Built Environment, 7, Article 745598. https://doi.org/10.3389/fbuil.2021.745598
The construction and operation of buildings account for significant environmental impacts, including greenhouse gas (GHG) emissions, energy demand, resource consumption and wa...
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...
A review of privacy-preserving federated learning for the Internet-of-Things
Book Chapter
Briggs, C., Fan, Z., & Andras, P. (2021)
A review of privacy-preserving federated learning for the Internet-of-Things. In M. Habib ur Rehman, & M. Medhat Gaber (Eds.), Federated Learning Systems: Towards Next-Generation AI (21-50). Cham: Springer. https://doi.org/10.1007/978-3-030-70604-3_2
The Internet-of-Things (IoT) generates vast quantities of data. Much of this data is attributable to human activities and behavior. Collecting personal data and executing mach...
Where do successful populations originate from?
Journal Article
Andras, P., & Stanton, A. (2021)
Where do successful populations originate from?. Journal of Theoretical Biology, 524, Article 110734. https://doi.org/10.1016/j.jtbi.2021.110734
In order to understand the dynamics of emergence and spreading of socio-technical innovations and population moves it is important to determine the place of origin of these po...
Federated Learning for Short-term Residential Energy Demand Forecasting
Working Paper
Briggs, C., Fan, Z., & Andras, P. (2021)
Federated Learning for Short-term Residential Energy Demand Forecasting
Energy demand forecasting is an essential task performed within the energy industry to help balance supply with demand and maintain a stable load on the electricity grid. As s...
Implementation and Evaluation of Physical, Hybrid, and Virtual Testbeds for Cybersecurity Analysis of Industrial Control Systems
Journal Article
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., Russell, G., & Porcel-Bustamante, J. (2021)
Implementation and Evaluation of Physical, Hybrid, and Virtual Testbeds for Cybersecurity Analysis of Industrial Control Systems. Symmetry, 13(3), https://doi.org/10.3390/sym13030519
Industrial Control Systems are an essential part of our daily lives and can be found in industries such as oil, utilities, and manufacturing. Rapid growth in technology has in...
Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters
Conference Proceeding
Briggs, C., Fan, Z., & Andras, P. (2020)
Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters. In NeurIPS 2020 Workshop: Tackling Climate Change with Machine Learning
In this proposal paper we highlight the need for privacy preserving energy demand forecasting to allay a major concern consumers have about smart meter installations. High res...