Start thinking in graphs: using graphs to address critical attack paths in a Microsoft cloud tenant
Journal Article
Elmiger, M., Lemoudden, M., Pitropakis, N., & Buchanan, W. J. (2024)
Start thinking in graphs: using graphs to address critical attack paths in a Microsoft cloud tenant. International Journal of Information Security, 23, 467-485. https://doi.org/10.1007/s10207-023-00751-6
The challenge of securing IT environments has reached a new complexity level as a growing number of organisations adopt cloud solutions. This trend increases the possibility o...
Filmmaking practice-as-research: a case study in pursuit of subtext through AI generated dialogue
Presentation / Conference
Gray, P. (2023, September)
Filmmaking practice-as-research: a case study in pursuit of subtext through AI generated dialogue. Paper presented at MeCCSA 2023, Glasgow
Practice led research in filmmaking and screenwriting that explores the potential for creating meaningful dialogue with subtext, through the use of AI chat bots. The presenta...
A Comparative Study of Assessment Metrics for Imbalanced Learning
Conference Proceeding
Farou, Z., Aharrat, M., & Horváth, T. (2023)
A Comparative Study of Assessment Metrics for Imbalanced Learning. In New Trends in Database and Information Systems: ADBIS 2023 Short Papers, Doctoral Consortium and Workshops: AIDMA, DOING, K-Gals, MADEISD, PeRS, Barcelona, Spain, September 4–7, 2023, Proceedings (119-129). https://doi.org/10.1007/978-3-031-42941-5_11
There are several machine learning algorithms addressing class imbalance problem, requiring standardized metrics for adequete performance evaluation. This paper reviews severa...
Proceedings of the 18th International Audio Mostly Conference
Conference Proceeding
(2023)
Proceedings of the 18th International Audio Mostly Conference. . https://doi.org/10.1145/3616195
Audio Mostly is an interdisciplinary conference on design and experience of interaction with sound that prides itself on embracing applied theory and reflective practice. Its ...
A Digital Twin-Assisted Intelligent Partial Offloading Approach for Vehicular Edge Computing
Journal Article
Zhao, L., Zhao, Z., Zhang, E., Hawbani, A., Al-Dubai, A., Tan, Z., & Hussain, A. (2023)
A Digital Twin-Assisted Intelligent Partial Offloading Approach for Vehicular Edge Computing. IEEE Journal on Selected Areas in Communications, 41(11), 3386-3400. https://doi.org/10.1109/jsac.2023.3310062
Vehicle Edge Computing (VEC) is a promising paradigm that exposes Mobile Edge Computing (MEC) to road scenarios. In VEC, task offloading can enable vehicles to offload the com...
Apprentices’ perspectives of the tripartite collaboration at the heart of degree apprenticeships: a longitudinal study
Journal Article
Taylor-Smith, E., Smith, S., Fabian, K., & Bratton, A. (2023)
Apprentices’ perspectives of the tripartite collaboration at the heart of degree apprenticeships: a longitudinal study. Journal of Workplace Learning, 35(8), 779-795. https://doi.org/10.1108/JWL-01-2023-0007
Purpose: The partnership which underpins degree apprenticeships is a tripartite collaboration between apprentices, employers, and universities. This study investigated the li...
Reliable and Scalable Routing Under Hybrid SDVN Architecture: A Graph Learning Based Method
Journal Article
Li, Z., Zhao, L., Min, G., Al-Dubai, A. Y., Hawbani, A., Zomaya, A. Y., & Luo, C. (2023)
Reliable and Scalable Routing Under Hybrid SDVN Architecture: A Graph Learning Based Method. IEEE Transactions on Intelligent Transportation Systems, 24(12), 14022 - 14036. https://doi.org/10.1109/tits.2023.3300082
Greedy routing efficiently achieves routing solutions for vehicular networks due to its simplicity and reliability. However, the existing greedy routing schemes have mainly co...
ESPP: Efficient Sector-based Charging Scheduling and Path Planning for WRSNs with Hexagonal Topology
Journal Article
Naji, A., Hawbani, A., Wang, X., Al-Gunid, H. M., Al-Dhabi, Y., Al-Dubai, A., …Alsamhi, S. H. (2024)
ESPP: Efficient Sector-based Charging Scheduling and Path Planning for WRSNs with Hexagonal Topology. IEEE Transactions on Sustainable Computing, 9(1), 31 - 45. https://doi.org/10.1109/tsusc.2023.3296607
Wireless Power Transfer (WPT) is a promising technology that can potentially mitigate the energy provisioning problem for sensor networks. In order to efficiently replenish en...
PMNet: A Multi-branch and Multi-scale Fusion Convolutional Neural Network for Water Body Extraction of High-resolution Remote Sensing Images
Journal Article
Liu, Q., Zhang, Z., Liu, X., Zhang, Y., & Du, Z. (in press)
PMNet: A Multi-branch and Multi-scale Fusion Convolutional Neural Network for Water Body Extraction of High-resolution Remote Sensing Images. Intelligent Automation and Soft Computing,
Automatic extraction of water body information from high-resolution remote sensing images is one of the core tasks of remote sensing image interpretation. Since the complex mu...
MESON: A Mobility-aware Dependent Task Offloading Scheme for Urban Vehicular Edge Computing
Journal Article
Zhao, L., Zhang, E., Wan, S., Hawbani, A., Al-Dubai, A. Y., Min, G., & Zomaya, A. Y. (2024)
MESON: A Mobility-aware Dependent Task Offloading Scheme for Urban Vehicular Edge Computing. IEEE Transactions on Mobile Computing, 23(5), 4259 - 4272. https://doi.org/10.1109/tmc.2023.3289611
Vehicular Edge Computing (VEC) is the transportation version of Mobile Edge Computing (MEC) in road scenarios. One key technology of VEC is task offloading, which allows vehic...