A New Annulus-based Distribution Algorithm for Scalable IoT-driven LoRa Networks
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 Communicationshttps://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-...
A New Mobility Aware Duty Cycling and Dynamic Preambling Algorithm for Wireless Sensor Network
Conference Proceeding
Thomson, C., Wadhaj, I., Al-Dubai, A., & Tan, Z. (2020)
A New Mobility Aware Duty Cycling and Dynamic Preambling Algorithm for Wireless Sensor Network. In 2020 IEEE 6th World Forum on Internet of Things (WF-IoT)https://doi.org/10.1109/WF-IoT48130.2020.9221036
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 ...
Delegation of Authentication to the Data Plane in Software-Defined Networks
Conference Proceeding
Almaini, A., Al-Dubai, A., Romdhani, I., & Schramm, M. (2020)
Delegation of Authentication to the Data Plane in Software-Defined Networks. In 2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS), (58-65). https://doi.org/10.1109/iucc/dsci/smartcns.2019.00038
OpenFlow is considered as the most known protocol for Software Defined Networking (SDN). The main drawback of OpenFlow is the lack of support of new header definitions, which ...
A 3D Smooth Random Walk Mobility Model for FANETs
Conference Proceeding
Lin, N., Gao, F., Zhao, L., Al-Dubai, A., & Tan, Z. (2019)
A 3D Smooth Random Walk Mobility Model for FANETs. In 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)https://doi.org/10.1109/HPCC/SmartCity/DSS.2019.00075
The number of Unmanned Aerial Vehicles (UAVs) applications has increased over the past few years. Among all scenarios, UAV group consisting multi-UAVs is normally used to prov...
A Learning-based Vehicle-Trajectory Generation Method for Vehicular Networking
Conference Proceeding
Zhao, L., Liu, Y., Al-Dubai, A., Tan, Z., Min, G., & Xu, L. (2019)
A Learning-based Vehicle-Trajectory Generation Method for Vehicular Networking. https://doi.org/10.1109/HPCC/SmartCity/DSS.2019.00082
With the rapid development of mobile applications, networking technologies have been constantly evolved to offer a more convenient way of sharing information and online-commun...
A novel adaptive routing and switching scheme for software-defined vehicular Networks
Conference Proceeding
Zhoa, L., Zhao, W., Gong, C., Al-Dubai, A., & Min, G. (2019)
A novel adaptive routing and switching scheme for software-defined vehicular Networks. In Proceedings of the IEEE International Conference on Communicationshttps://doi.org/10.1109/ICC.2019.8761365
Software-Defined Vehicular Networks (SDVNs) technology has been attracting significant attention as it can make Vehicular Ad Hoc Network (VANET) more efficient and intelligent...
A temporal-information-based adaptive routing algorithm for software defined vehicular networks
Conference Proceeding
Zhao, L., Li, Z., Li, J., Al-Dubai, A., Min, G., & Zomaya, A. Y. (2019)
A temporal-information-based adaptive routing algorithm for software defined vehicular networks. In ICC 2019 - 2019 IEEE International Conference on Communications (ICC)https://doi.org/10.1109/ICC.2019.8761680
In Software Defined Vehicular Networks (SDVNs), most existing studies of routing consider the vehicular network as a static graph and compute the flow table based on static in...
Predicting Malicious Insider Threat Scenarios Using Organizational Data and a Heterogeneous Stack-Classifier
Conference Proceeding
Hall, A. J., Pitropakis, N., Buchanan, W. J., & Moradpoor, N. (2019)
Predicting Malicious Insider Threat Scenarios Using Organizational Data and a Heterogeneous Stack-Classifier. In 2018 IEEE International Conference on Big Data (Big Data)https://doi.org/10.1109/BigData.2018.8621922
Insider threats continue to present a major challenge for the information security community. Despite constant research taking place in this area; a substantial gap still exis...
Implementation and Detection of Novel Attacks to the PLC Memory on a Clean Water Supply System
Conference Proceeding
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., Russell, G., & Maneru-Marin, I. (2019)
Implementation and Detection of Novel Attacks to the PLC Memory on a Clean Water Supply System. In CITT 2018. , (91-103). https://doi.org/10.1007/978-3-030-05532-5_7
Critical infrastructures such as nuclear plants or water supply systems are mainly managed through electronic control systems. Such systems comprise of a number of elements, s...
A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system
Conference Proceeding
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., & Russell, G. (2018)
A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system. In Proceedings of the IEEE International Conference on Cyber Security and Protection of Digital Services (Cyber Security 2018)https://doi.org/10.1109/CyberSecPODS.2018.8560683
Industrial Control Systems are part of our daily life in industries such as transportation, water, gas, oil, smart cities, and telecommunications. Technological development ov...