Wireless Power Transfer Technologies, Applications, and Future Trends: A Review (2024)
Journal Article
Alabsi, A., Hawbani, A., Wang, X., Dubai, A. A., Hu, J., Aziz, S. A., …Alsamhi, S. H. (in press). Wireless Power Transfer Technologies, Applications, and Future Trends: A Review. IEEE Transactions on Sustainable Computing, https://doi.org/10.1109/TSUSC.2024.3380607

Wireless Power Transfer (WPT) is a disruptive technology that allows wireless energy provisioning for energy- limited IoT devices, thus decreasing the over-reliance on batteries and wires. WPT could replace conventional energy provisioning (e.g., ene... Read More about Wireless Power Transfer Technologies, Applications, and Future Trends: A Review.

Potential of Satellite-Airborne Sensing Technologies for Agriculture 4.0 and Climate-Resilient: A Review (2023)
Journal Article
Hazmy, A. I., Hawbani, A., Wang, X., Al-Dubai, A., Ghannami, A., Yahya, A. A., …Alsamhi, S. H. (2024). Potential of Satellite-Airborne Sensing Technologies for Agriculture 4.0 and Climate-Resilient: A Review. IEEE Sensors Journal, 24(4), 4161-4180. https://doi.org/10.1109/jsen.2023.3343428

Agriculture 4.0 offers the potential to revolutionize the agriculture sector through improved productivity and efficiency. However, adopting Agriculture 4.0 requires a period of transition and effort. Satellite-Airborne sensing technologies may becom... Read More about Potential of Satellite-Airborne Sensing Technologies for Agriculture 4.0 and Climate-Resilient: A Review.

Navigating Industry 5.0: A Survey of Key Enabling Technologies, Trends, Challenges, and Opportunities (2023)
Journal Article
Tallat,, R., Hawbani, A., Wang, X., Al-Dubai, A., Zhao, L., Liu, Z., …Alsamhi, S. (in press). Navigating Industry 5.0: A Survey of Key Enabling Technologies, Trends, Challenges, and Opportunities. Communications Surveys and Tutorials, IEEE Communications Society, https://doi.org/10.1109/comst.2023.3329472

This century has been a major avenue for revolutionary changes in technology and industry. Industries have transitioned towards intelligent automation, relying less on human intervention, resulting in the fourth industrial revolution, Industry 4.0. T... Read More about Navigating Industry 5.0: A Survey of Key Enabling Technologies, Trends, Challenges, and Opportunities.

The humanitarian supply network: A paradigm problem and a big idea (2023)
Presentation / Conference
Duddy, D., Stantchev, D., & Weaver, M. (2023, September). The humanitarian supply network: A paradigm problem and a big idea. Paper presented at Logistics Research Network (LRN) Conference 2023, Heriot-Watt University, Edinburgh, Scotland

This research examines whether greater effectiveness and efficiency in humanitarian supply chains can be achieved by adopting a cybernetic approach to information flow. It looks at how, by taking a holistic view of humanitarian supply operations, the... Read More about The humanitarian supply network: A paradigm problem and a big idea.

Reliable and Scalable Routing Under Hybrid SDVN Architecture: A Graph Learning Based Method (2023)
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 considered simple routing metrics only, e.g., distance based on the local vie... Read More about Reliable and Scalable Routing Under Hybrid SDVN Architecture: A Graph Learning Based Method.

ESPP: Efficient Sector-based Charging Scheduling and Path Planning for WRSNs with Hexagonal Topology (2023)
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 energy for these battery-powered devices, designing appropriate scheduling an... Read More about ESPP: Efficient Sector-based Charging Scheduling and Path Planning for WRSNs with Hexagonal Topology.

MESON: A Mobility-aware Dependent Task Offloading Scheme for Urban Vehicular Edge Computing (2023)
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 vehicles to send their computation tasks to the surrounding Roadside Units (RSUs... Read More about MESON: A Mobility-aware Dependent Task Offloading Scheme for Urban Vehicular Edge Computing.

A Novel Federated Learning Scheme for Generative Adversarial Networks (2023)
Journal Article
Zhang, J., Zhao, L., Yu, . K., Min, G., Al-Dubai, A., & Zomya, A. (2024). A Novel Federated Learning Scheme for Generative Adversarial Networks. IEEE Transactions on Mobile Computing, 23(5), 3633-3649. https://doi.org/10.1109/tmc.2023.3278668

Generative adversarial networks (GANs) have been advancing and gaining tremendous interests from both academia and industry. With the development of wireless technologies, a huge amount of data generated at the network edge provides an unprecedented... Read More about A Novel Federated Learning Scheme for Generative Adversarial Networks.

Blockchain for Cybersecurity in Cyber-Physical Systems (2023)
Book
Maleh, Y., Alazab, M., & Romdhani, I. (Eds.). (2023). Blockchain for Cybersecurity in Cyber-Physical Systems. Cham: Springer. https://doi.org/10.1007/978-3-031-25506-9

This book offers the latest research results on blockchain technology and its application for cybersecurity in cyber-physical systems. It presents crucial issues in this field and provides a sample of recent advances and insights into the research pr... Read More about Blockchain for Cybersecurity in Cyber-Physical Systems.

A Stacking Ensemble of Deep Learning Models for IoT Network Intrusion Detection (2023)
Working Paper
Lazzarini, R., Tianfield, H., & Charissis, V. A Stacking Ensemble of Deep Learning Models for IoT Network Intrusion Detection

The number of Internet of Things (IoT) devices has increased considerably inthe past few years, which resulted in an exponential growth of cyber attackson IoT infrastructure. As a consequence, the prompt detection of attacks inIoT environments throug... Read More about A Stacking Ensemble of Deep Learning Models for IoT Network Intrusion Detection.

Improved ICS Honeypot Techniques (2023)
Conference Proceeding
McColm, D., & Macfarlane, R. (in press). Improved ICS Honeypot Techniques.

As work continues to advance the security posture of ICS systems across the UKNDA estate, opportunities arise to consider the deployment of deception technologies. With high-profile attacks on ICS occurring more frequently, and increasing numbers of... Read More about Improved ICS Honeypot Techniques.

Big Data Analytics and Intelligent Systems for Cyber Threat Intelligence (2022)
Book
Maleh, Y., Alazab, M., Tawalbeh, L., & Romdhani, I. (Eds.). (2022). Big Data Analytics and Intelligent Systems for Cyber Threat Intelligence. Gistrup, Denmark: River Publishers

In recent years, a considerable amount of effort has been devoted to cyber-threat protection of computer systems which is one of the most critical cybersecurity tasks for single users and businesses since even a single attack can result in compromise... Read More about Big Data Analytics and Intelligent Systems for Cyber Threat Intelligence.

Digital threat or opportunity? Local civil society in an age of global inter-connectivity (2022)
Book Chapter
Woods, M., Guma, T., & Yarker, S. (2022). Digital threat or opportunity? Local civil society in an age of global inter-connectivity. In P. Chaney, & I. R. Jones (Eds.), Civil Society in an Age of Uncertainty: Institutions, Governance and Existential Challenges (111-132). Bristol: Policy Press

Abstract not available.

Social network analysis and festival relationships: personal, organisational and strategic connections (2022)
Thesis
Jarman, D. (2022). Social network analysis and festival relationships: personal, organisational and strategic connections. (Thesis). Tilburg University. Retrieved from http://researchrepository.napier.ac.uk/Output/2912990

In the world of festivals and creative communities, relationships matter. Festival managers and producers understand the overlapping links, both professional and private, amongst their colleagues. Freelancers and graduates developing their careers ap... Read More about Social network analysis and festival relationships: personal, organisational and strategic connections.

A Novel Time-Slotted LoRa MAC Protocol for Scalable IoT Networks (2022)
Journal Article
Alahmadi, H., Bouabdallah, F., & Al-Dubai, A. (2022). A Novel Time-Slotted LoRa MAC Protocol for Scalable IoT Networks. Future Generation Computer Systems, 134, 287-302. https://doi.org/10.1016/j.future.2022.04.003

Long Range (LoRa) networks provide long range, cost-effective and energy-efficient communications by utilising the free unlicensed ISM band, which makes them appealing for Internet of Things (IoT) applications. However, in high density networks, reli... Read More about A Novel Time-Slotted LoRa MAC Protocol for Scalable IoT Networks.

SDORP: SDN based Opportunistic Routing for Asynchronous Wireless Sensor Networks (2022)
Journal Article
Farooq, M., Wang, X., Hawbani, A., Zhao, L., Al-Dubai, A., & Busaileh, O. (2023). SDORP: SDN based Opportunistic Routing for Asynchronous Wireless Sensor Networks. IEEE Transactions on Mobile Computing, 22(8), 4912-4929. https://doi.org/10.1109/TMC.2022.3158695

In wireless sensor networks (WSNs), it is inappropriate to use conventional unicast routing due to the broadcast storm problem and spatial diversity of communication links. Opportunistic Routing (OR) benefits the low duty-cycled WSNs by prioritizing... Read More about SDORP: SDN based Opportunistic Routing for Asynchronous Wireless Sensor Networks.

A Novel Prediction-Based Temporal Graph Routing Algorithm for Software-Defined Vehicular Networks (2021)
Journal Article
Zhao, L., Li, Z., Al-Dubai, A., Min, G., Li, J., Hawbani, A., & Zomaya, A. (2022). A Novel Prediction-Based Temporal Graph Routing Algorithm for Software-Defined Vehicular Networks. IEEE Transactions on Intelligent Transportation Systems, 23(8), 13275-13290. https://doi.org/10.1109/TITS.2021.3123276

Temporal information is critical for routing computation in the vehicular network. It plays a vital role in the vehicular network. Till now, most existing routing schemes in vehicular networks consider the networks as a sequence of static graphs. We... Read More about A Novel Prediction-Based Temporal Graph Routing Algorithm for Software-Defined Vehicular Networks.

A New Annulus-based Distribution Algorithm for Scalable IoT-driven LoRa Networks (2021)
Conference Proceeding
Alahmadi, H., Bouabdallah, F., & Al-Dubai, A. (2021). A New Annulus-based Distribution Algorithm for Scalable IoT-driven LoRa Networks. In ICC 2021 - IEEE International Conference on Communications. https://doi.org/10.1109/ICC42927.2021.9500407

Long-Range (LoRa) has been a major avenue for deploying the Internet of Things (IoT) in large scale environments due to its long-scale connection, energy efficiency, and cost-effectiveness. LoRa networks provide multiple configurable transmission par... Read More about A New Annulus-based Distribution Algorithm for Scalable IoT-driven LoRa Networks.

PyDentity: A playground for education and experimentation with the hyperledger verifiable information exchange platform (2021)
Journal Article
Abramson, W., Papadopoulos, P., Pitropakis, N., & Buchanan, W. J. (2021). PyDentity: A playground for education and experimentation with the hyperledger verifiable information exchange platform. Software Impacts, 9, Article 100101. https://doi.org/10.1016/j.simpa.2021.100101

PyDentity lowers the entry barrier for parties interested in experimenting with the Hyperledger’s verifiable information exchange platform. It enables educators, developers and researchers to configure and initialise a set of actors easily as associa... Read More about PyDentity: A playground for education and experimentation with the hyperledger verifiable information exchange platform.

Artificial Intelligence and Blockchain for Future Cybersecurity Applications (2021)
Book
Maleh, Y., Baddi, Y., Alazab, M., Tawalbeh, L., & Romdhani, I. (Eds.). (2021). Artificial Intelligence and Blockchain for Future Cybersecurity Applications. Cham: Springer. https://doi.org/10.1007/978-3-030-74575-2

Presents the state-of-the-art and the latest discoveries in the field of Artificial Intelligence and Blockchain techniques and methods for future cybersecurity applications Proposes new models, practical solutions and technological advances related... Read More about Artificial Intelligence and Blockchain for Future Cybersecurity Applications.