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72 results

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 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...

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...

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...