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Outputs (263)

A Stacking Ensemble of Deep Learning Models for IoT Network Intrusion Detection (2023)
Preprint / 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.

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. 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.

Social network analysis and festival relationships: personal, organisational and strategic connections (2022)
Thesis
Jarman, D. Social network analysis and festival relationships: personal, organisational and strategic connections. (Thesis). Tilburg University. 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)
Presentation / Conference Contribution
Alahmadi, H., Bouabdallah, F., & Al-Dubai, A. (2021, June). A New Annulus-based Distribution Algorithm for Scalable IoT-driven LoRa Networks. Presented at IEEE International Conference on Communications (IEEE ICC 2021), Montreal, Canada

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. 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.

Fault-tolerant AI-driven Intrusion Detection System for the Internet of Things (2021)
Journal Article
Medjek, F., Tandjaoui, D., Djedjig, N., & Romdhani, I. (2021). Fault-tolerant AI-driven Intrusion Detection System for the Internet of Things. International Journal of Critical Infrastructure Protection, 34, Article 100436. https://doi.org/10.1016/j.ijcip.2021.100436

Internet of Things (IoT) has emerged as a key component of all advanced critical infrastructures. However, with the challenging nature of IoT, new security breaches have been introduced, especially against the Routing Protocol for Low-power and Lossy... Read More about Fault-tolerant AI-driven Intrusion Detection System for the Internet of Things.

A Mobility Aware Duty Cycling and Preambling Solution for Wireless Sensor Network with Mobile Sink Node (2021)
Journal Article
Thomson, C., Wadhaj, I., Tan, Z., & Al-Dubai, A. (2021). A Mobility Aware Duty Cycling and Preambling Solution for Wireless Sensor Network with Mobile Sink Node. Wireless Networks, 27(5), 3423-3439. https://doi.org/10.1007/s11276-021-02580-8

Utilising the mobilisation of a sink node in a wireless sensor network to combat the energy hole, or hotspot issue, is well referenced. However, another issue , that of energy spikes may remain. With the mobile sink node potentially communicating wit... Read More about A Mobility Aware Duty Cycling and Preambling Solution for Wireless Sensor Network with Mobile Sink Node.

Machine Learning-driven Optimization for SVM-based Intrusion Detection System in Vehicular Ad Hoc Networks (2021)
Journal Article
Alsarhan, A., Alauthman, M., Alshdaifat, E., Al-Ghuwairi, A.-R., & Al-Dubai, A. (2023). Machine Learning-driven Optimization for SVM-based Intrusion Detection System in Vehicular Ad Hoc Networks. Journal of Ambient Intelligence and Humanized Computing, 14(5), 6113-6122. 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, this paper applies support vector machine (SVM) for intrusion detection in VAN... Read More about Machine Learning-driven Optimization for SVM-based Intrusion Detection System in Vehicular Ad Hoc Networks.

Ground Control and Cloud Booths: Using Dante to break geographical barriers to music production (2021)
Book Chapter
Ferguson, P., & Hook, D. (2021). Ground Control and Cloud Booths: Using Dante to break geographical barriers to music production. In R. Hepworth-Sawyer, R. Toulson, & J. Paterson (Eds.), Innovation in Music: Future Opportunities (89-105). Routledge

In January 2013 the authors became early adopters of Focusrite RedNet. The RedNet Dante-based audio-over-IP interfaces gave their studios and performance areas very flexible connectivity and this was presented at the first Innovation in Music confere... Read More about Ground Control and Cloud Booths: Using Dante to break geographical barriers to music production.

A Novel Heuristic Data Routing for Urban Vehicular Ad-hoc Networks (2021)
Journal Article
Hawbani, A., Wang, X., Al-Dubai, A., Zhao, L., Busaileh, . O., Liu, P., & Al-qaness, M. (2021). A Novel Heuristic Data Routing for Urban Vehicular Ad-hoc Networks. IEEE Internet of Things Journal, 8(11), 8976-8989. https://doi.org/10.1109/JIOT.2021.3055504

This work is devoted to solving the problem of multi-criteria multi-hop routing in vehicular ad-hoc networks (VANETs), aiming at three goals, increasing the end-to-end delivery ratio, reducing the end-to-end latency, and minimizing the network overhe... Read More about A Novel Heuristic Data Routing for Urban Vehicular Ad-hoc Networks.

Events As Platforms, Networks, and Communities (2021)
Journal Article
Richards, G., & Jarman, D. (2021). Events As Platforms, Networks, and Communities. Event Management, 25(1), 1-7. https://doi.org/10.3727/152599520x15894679115420

This introduction to the special issue on events as platforms, networks, and communities reviews recent research on these subjects. It outlines the previous work of the ATLAS Events Group in developing a "network approach to events," as well as conce... Read More about Events As Platforms, Networks, and Communities.

Secure Lightweight Stream Data Outsourcing for Internet of Things (2021)
Journal Article
Peng, S., Zhao, L., Al-Dubai, A., Zomaya, A., Hu, J., Min, G., & Wang, Q. (2021). Secure Lightweight Stream Data Outsourcing for Internet of Things. IEEE Internet of Things Journal, 8(13), 10815-10829. https://doi.org/10.1109/JIOT.2021.3050732

The epoch of the Internet of Things (IoT) has come by enabling almost everything to gather and share electronic information. Considering the unreliable factors of public IoT, how to outsource huge amounts of indispensable stream data generated by the... Read More about Secure Lightweight Stream Data Outsourcing for Internet of Things.

Novel Online Sequential Learning-Based Adaptive Routing for Edge Software-Defined Vehicular Networks (2020)
Journal Article
Zhao, L., Zhao, W., Hawbani, A., Al-Dubai, A. Y., Min, G., Zomaya, A., & Gong, C. (2021). Novel Online Sequential Learning-Based Adaptive Routing for Edge Software-Defined Vehicular Networks. IEEE Transactions on Wireless Communications, 20(5), 2991-3004. https://doi.org/10.1109/twc.2020.3046275

To provide efficient networking services at the edge of Internet-of-Vehicles (IoV), Software-Defined Vehicular Network (SDVN) has been a promising technology to enable intelligent data exchange without giving additional duties to the resource constra... Read More about Novel Online Sequential Learning-Based Adaptive Routing for Edge Software-Defined Vehicular Networks.

Stratified Opposition-Based Initialization for Variable-Length Chromosome Shortest Path Problem Evolutionary Algorithms (2020)
Journal Article
Ghanami, A., Li, . J., Hawbani, A., & Al-Dubai, A. (2021). Stratified Opposition-Based Initialization for Variable-Length Chromosome Shortest Path Problem Evolutionary Algorithms. Expert Systems with Applications, 170, Article 114525. https://doi.org/10.1016/j.eswa.2020.114525

Initialization is the first and a major step in the implementation of evolutionary algorithms (EAs). Although there are many common general methods to initialize EAs such as the pseudo-random number generator (PRNG), there is no single method that ca... Read More about Stratified Opposition-Based Initialization for Variable-Length Chromosome Shortest Path Problem Evolutionary Algorithms.

A New Mobility Aware Duty Cycling and Dynamic Preambling Algorithm for Wireless Sensor Network (2020)
Presentation / Conference Contribution
Thomson, C., Wadhaj, I., Al-Dubai, A., & Tan, Z. (2020, April). A New Mobility Aware Duty Cycling and Dynamic Preambling Algorithm for Wireless Sensor Network. Presented at IEEE 6th World Forum on Internet of Things, New Orleans, Louisiana, USA

The issue of energy holes, or hotspots, in wireless sensor networks is well referenced. As is the proposed mobilisa-tion of the sink node in order to combat this. However, as the sink node shall still pass some nodes more closely and frequently than... Read More about A New Mobility Aware Duty Cycling and Dynamic Preambling Algorithm for Wireless Sensor Network.