Outputs (107)

A Comparative Study of VANET Routing Protocols for Safety Applications (2023)
Presentation / Conference Contribution
Coyle, K., Thomson, C., Wadhaj, I., & Ghaleb, B. (2023, November). A Comparative Study of VANET Routing Protocols for Safety Applications. Presented at 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Edinburgh

The rapid advancement of vehicular communication technologies has led to the emergence of Vehicular AdHoc Networks (VANETs), which hold immense potential for improving road safety and traffic efficiency. VANETs enable vehicles to communicate with eac... Read More about A Comparative Study of VANET Routing Protocols for Safety Applications.

The humanitarian supply network: A paradigm problem and a big idea (2023)
Presentation / Conference Contribution
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.

Improved ICS Honeypot Techniques (2023)
Presentation / Conference Contribution
McColm, D., & Macfarlane, R. (2023, June). Improved ICS Honeypot Techniques. Paper presented at International Conference on Computer Security in the Nuclear World: Security for Safety, Vienna, Austria

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.

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.

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.

Towards The Creation of A Threat Intelligence Framework for Maritime Infrastructures (2020)
Presentation / Conference Contribution
Pitropakis, N., Logothetis, M., Andrienko, G., Karapistoli, I., Stephanatos, J., & Lambrinoudakis, C. (2019, September). Towards The Creation of A Threat Intelligence Framework for Maritime Infrastructures. Presented at 5th Workshop on the Security of Industrial Control Systems & of Cyber-Physical Systems (CyberICPS 2019), Luxembourg, Luxembourg

The maritime ecosystem has undergone through changes due to the increasing use of information systems and smart devices. The newly introduced technologies give rise to new attack surface in maritime infrastructures. In this position paper, we propose... Read More about Towards The Creation of A Threat Intelligence Framework for Maritime Infrastructures.

Delegation of Authentication to the Data Plane in Software-Defined Networks (2020)
Presentation / Conference Contribution
Almaini, A., Al-Dubai, A., Romdhani, I., & Schramm, M. (2019, October). Delegation of Authentication to the Data Plane in Software-Defined Networks. Presented at 2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS), Shenyang, China

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 is required by network operators to apply new packet encapsulations. While... Read More about Delegation of Authentication to the Data Plane in Software-Defined Networks.

BCFR: Blockchain-based Controller Against False Flow Rule Injection in SDN (2020)
Presentation / Conference Contribution
Boukria, S., Guerroumi, M., & Romdhani, I. (2019, June). BCFR: Blockchain-based Controller Against False Flow Rule Injection in SDN. Presented at 11th IEEE International Workshop on Performance Evaluation of Communications in Distributed Systems and Web based Service Architectures, PEDISWESA'2019, Barcelona, Spain

Software Defined Networking (SDN) technology increases the evolution of Internet and network development. SDN, with its logical centralization of controllers and global network overview changes the network's characteristics, on term of flexibility, a... Read More about BCFR: Blockchain-based Controller Against False Flow Rule Injection in SDN.

A Learning-based Vehicle-Trajectory Generation Method for Vehicular Networking (2019)
Presentation / Conference Contribution
Zhao, L., Liu, Y., Al-Dubai, A., Tan, Z., Min, G., & Xu, L. (2019, August). A Learning-based Vehicle-Trajectory Generation Method for Vehicular Networking. Presented at The 21st IEEE International Conference on High Performance Computing and Communications, Zhangjiajie, Hunan, China

With the rapid development of mobile applications, networking technologies have been constantly evolved to offer a more convenient way of sharing information and online-communication anytime and anywhere. Vehicular networks have the potential to beco... Read More about A Learning-based Vehicle-Trajectory Generation Method for Vehicular Networking.

A 3D Smooth Random Walk Mobility Model for FANETs (2019)
Presentation / Conference Contribution
Lin, N., Gao, F., Zhao, L., Al-Dubai, A., & Tan, Z. (2019, August). A 3D Smooth Random Walk Mobility Model for FANETs. Presented at The 21 IEEE High Performance Computing and Communications (HPCC), Zhangjiajie, Hunan, China

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 provide extensible communications. As a networking solution, Flying Ad Hoc Netw... Read More about A 3D Smooth Random Walk Mobility Model for FANETs.

A novel adaptive routing and switching scheme for software-defined vehicular Networks (2019)
Presentation / Conference Contribution
Zhoa, L., Zhao, W., Gong, C., Al-Dubai, A., & Min, G. (2019, May). A novel adaptive routing and switching scheme for software-defined vehicular Networks. Presented at IEEE International Conference on Communications, Shanghai, China

Software-Defined Vehicular Networks (SDVNs) technology has been attracting significant attention as it can make Vehicular Ad Hoc Network (VANET) more efficient and intelligent. SDVN provides a flexible architecture which can decouple the network mana... Read More about A novel adaptive routing and switching scheme for software-defined vehicular Networks.

A temporal-information-based adaptive routing algorithm for software defined vehicular networks (2019)
Presentation / Conference Contribution
Zhao, L., Li, Z., Li, J., Al-Dubai, A., Min, G., & Zomaya, A. Y. (2019, May). A temporal-information-based adaptive routing algorithm for software defined vehicular networks. Presented at IEEE International Conference on Communications (ICC): Ad Hoc and Sensor Networks Symposium, Shanghai, China

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 information. However, a static graph could only contain partial network data.... Read More about A temporal-information-based adaptive routing algorithm for software defined vehicular networks.

Predicting Malicious Insider Threat Scenarios Using Organizational Data and a Heterogeneous Stack-Classifier (2019)
Presentation / Conference Contribution
Hall, A. J., Pitropakis, N., Buchanan, W. J., & Moradpoor, N. (2018, December). Predicting Malicious Insider Threat Scenarios Using Organizational Data and a Heterogeneous Stack-Classifier. Presented at International Workshop on Big Data Analytics for Cyber Threat Hunting, Seattle, WA, USA

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 exists between the requirements of this community and the solutions that are cu... Read More about Predicting Malicious Insider Threat Scenarios Using Organizational Data and a Heterogeneous Stack-Classifier.

Implementation and Detection of Novel Attacks to the PLC Memory on a Clean Water Supply System (2018)
Presentation / Conference Contribution
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., Russell, G., & Maneru-Marin, I. (2018, August). Implementation and Detection of Novel Attacks to the PLC Memory on a Clean Water Supply System. Presented at The 4th International Conference on Technology Trends, Babahoyo, Ecuador

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, such as programmable logic controllers (PLC), networking devices, and actua... Read More about Implementation and Detection of Novel Attacks to the PLC Memory on a Clean Water Supply System.

A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system (2018)
Presentation / Conference Contribution
Robles-Durazno, A., Moradpoor, N., McWhinnie, J., & Russell, G. (2018, June). A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system. Presented at Cyber Security 2018: 2018 International Conference on Cyber Security and Protection of Digital Services, Glasgow, United Kingdom

Industrial Control Systems are part of our daily life in industries such as transportation, water, gas, oil, smart cities, and telecommunications. Technological development over time have improved their components including operating system platforms... Read More about A supervised energy monitoring-based machine learning approach for anomaly detection in a clean water supply system.

Cross-Layer Multipath Multichannel MAC protocol for MANETs (2018)
Presentation / Conference Contribution
Mirza, N., Taylor, H., Abdelshafy, M., King, P., Romdhani, I., & Alghamdi, A. (2018, June). Cross-Layer Multipath Multichannel MAC protocol for MANETs. Presented at The International Symposium on Networks, Computers and Communications (ISNCC), Rome, Italy

Utilising multiple disjoint paths in multiple channels can improve network performance by enabling a node to reroute data along discovered paths seamlessly when link failure is detected. However, depending on a stale route to recover from a broken li... Read More about Cross-Layer Multipath Multichannel MAC protocol for MANETs.

Collaborative Computing: Networking, Applications and Worksharing: 13th International Conference, CollaborateCom 2017, Edinburgh, UK, December 11–13, 2017, Proceedings (2018)
Presentation / Conference Contribution
(2017, December). Collaborative Computing: Networking, Applications and Worksharing: 13th International Conference, CollaborateCom 2017, Edinburgh, UK, December 11–13, 2017, Proceedings. Presented at CollaborateCom 2017, Edinburgh, UK

This book constitutes the thoroughly refereed proceedings of the 13th International Conference on Collaborative Computing: Networking, Applications, and Worksharing, CollaborateCom 2017, held in Edinburgh, UK, in December 2017. The 65 papers presente... Read More about Collaborative Computing: Networking, Applications and Worksharing: 13th International Conference, CollaborateCom 2017, Edinburgh, UK, December 11–13, 2017, Proceedings.

Vulnerability Assessment of Objective Function of RPL Protocol for Internet of Things (2018)
Presentation / Conference Contribution
Semedo, F., Moradpoor, N., & Rafiq, M. (2018, September). Vulnerability Assessment of Objective Function of RPL Protocol for Internet of Things. Presented at 11th International Conference On Security Of Information and Networks, Cardiff, United Kingdom

The Internet of Things (IoT) can be described as the ever-growing global network of objects with built-in sensing and communication interfaces such as sensors, Global Positioning devices (GPS) and Local Area Network (LAN) interfaces. Security is by f... Read More about Vulnerability Assessment of Objective Function of RPL Protocol for Internet of Things.

An Enhanced Cyber Attack Attribution Framework (2018)
Presentation / Conference Contribution
Pitropakis, N., Panaousis, E., Giannakoulias, A., Kalpakis, G., Rodriguez, R. D., & Sarigiannidis, P. (2018, September). An Enhanced Cyber Attack Attribution Framework. Presented at International Conference on Trust and Privacy in Digital Business TrustBus 2018, Regensburg, Germany

Advanced Persistent Threats (APTs) are considered as the threats that are the most challenging to detect and defend against. As APTs use sophisticated attack methods, cyber situational awareness and especially cyber attack attribution are necessary f... Read More about An Enhanced Cyber Attack Attribution Framework.

Experimental High Speed Data Encryption via SDM-CV-QKD Signaling for High-Capacity Access Network (2018)
Presentation / Conference Contribution
Asif, R., Haithem, M., & Buchanan, W. J. (2018, July). Experimental High Speed Data Encryption via SDM-CV-QKD Signaling for High-Capacity Access Network. Presented at Advanced Photonics 2018 (BGPP, IPR, NP, NOMA, Sensors, Networks, SPPCom, SOF)

We report a high capacity Quantum-to-the-Home (QTTH) network in a spatialdivision-multiplexing (SDM) network utilizing 7-core multicore fiber (MCF). Aggregate secure key rates of 33.6 Mbit/s over 9.8 km of fiber are the actual state-of-the-art.