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157 results

A Comparative Analysis of Honeypots on Different Cloud Platforms

Journal Article
Kelly, C., Pitropakis, N., Mylonas, A., Mckeown, S., & Buchanan, W. J. (2021)
A Comparative Analysis of Honeypots on Different Cloud Platforms. Sensors, 21(7), https://doi.org/10.3390/s21072433
In 2019, the majority of companies used at least one cloud computing service and it is expected that by the end of 2021, cloud data centres will process 94% of workloads. The ...

A Novel Tensor-information Bottleneck Method for Multi-input Single-output Applications

Journal Article
Lu, E., Ren, X., Cui, C., Tan, Z., Wu, Y., & Qin, Z. (in press)
A Novel Tensor-information Bottleneck Method for Multi-input Single-output Applications. Computer Networks,
Ensuring timeliness and mobility for multimedia computing is a crucial task for wireless communication. Previous algorithms that utilize information channels, such as the info...

Privacy and Trust Redefined in Federated Machine Learning

Journal Article
Papadopoulos, P., Abramson, W., Hall, A. J., Pitropakis, N., & Buchanan, W. J. (2021)
Privacy and Trust Redefined in Federated Machine Learning. Machine Learning and Knowledge Extraction, 3(2), https://doi.org/10.3390/make3020017
A common privacy issue in traditional machine learning is that data needs to be disclosed for the training procedures. In situations with highly sensitive data such as healthc...

A Mobility Aware Duty Cycling and Preambling Solution for Wireless Sensor Network with Mobile Sink Node

Journal Article
Thomson, C., Wadhaj, I., Tan, Z., & Al-Dubai, A. (in press)
A Mobility Aware Duty Cycling and Preambling Solution for Wireless Sensor Network with Mobile Sink Node. Wireless Networks, 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...

Machine Learning-driven Optimization for SVM-based Intrusion Detection System in Vehicular Ad Hoc Networks

Journal Article
Alsarhan, A., Alauthman, M., Alshdaifat, E., Al-Ghuwairi, A., & Al-Dubai, A. (in press)
Machine Learning-driven Optimization for SVM-based Intrusion Detection System in Vehicular Ad Hoc Networks. Journal of Ambient Intelligence and Humanized Computing, 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, thi...

Vehicular Computation Offloading for Industrial Mobile Edge Computing

Journal Article
Zhao, L., Yang, K., Tan, Z., Song, H., Al-Dubai, A., & Zomaya, A. (in press)
Vehicular Computation Offloading for Industrial Mobile Edge Computing. IEEE Transactions on Industrial Informatics, https://doi.org/10.1109/TII.2021.3059640
Due to the limited local computation resource, industrial vehicular computation requires offloading the computation tasks with time-delay sensitive and complex demands to othe...

A Novel Heuristic Data Routing for Urban Vehicular Ad-hoc Networks

Journal Article
Hawbani, A., Wang, X., Al-Dubai, A., Zhao, L., Busaileh, . O., Liu, P., & Al-qaness, M. (in press)
A Novel Heuristic Data Routing for Urban Vehicular Ad-hoc Networks. IEEE Internet of Things Journal, 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 deliver...

Stratified Opposition-Based Initialization for Variable-Length Chromosome Shortest Path Problem Evolutionary Algorithms

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, 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 t...

Novel Online Sequential Learning-based Adaptive Routing for Edge Software-Defined Vehicular Networks

Journal Article
Zhao, L., Zhao, W., Hawbani, A., Al-Dubai, A., Min, G., Zomaya, A., & Gong, C. (in press)
Novel Online Sequential Learning-based Adaptive Routing for Edge Software-Defined Vehicular Networks. IEEE Transactions on Wireless Communications,
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 intelli...

Review and Critical Analysis of Privacy-preserving Infection Tracking and Contact Tracing

Journal Article
Buchanan, W. J., Imran, M. A., Ur-Rehman, M., Zhang, L., Abbasi, Q. H., Chrysoulas, C., …Papadopoulos, P. (2020)
Review and Critical Analysis of Privacy-preserving Infection Tracking and Contact Tracing. Frontiers in Communications and Networks, https://doi.org/10.3389/frcmn.2020.583376
The outbreak of viruses have necessitated contact tracing and infection tracking methods. Despite various efforts, there is currently no standard scheme for the tracing and tr...