All Outputs (4744)

State of Practice: LLMs in Software Engineering and Software Architecture (2024)
Presentation / Conference Contribution
Jahic, J., & Sami, A. (2024, June). State of Practice: LLMs in Software Engineering and Software Architecture. Presented at 21st IEEE International Conference on Software Architecture (ICSA 2024): 3rd International Workshop on Software Architecture and Machine Learning, Hyderabad, India

Large Language Models (LLMs) are finding their way into Software Engineering by assisting with tasks such as code generation. Furthermore, LLMs might have a potential to perform even more complex tasks, such as suggesting architectural design. Howeve... Read More about State of Practice: LLMs in Software Engineering and Software Architecture.

Safeguarding IoT Systems: Novel Authentication Method to Counteract Sybil and Flood Attacks (2024)
Presentation / Conference Contribution
Baird, I., Ghaleb, B., Wadhaj, I., Russell, G., & Buchanan, W. J. (2024, June). Safeguarding IoT Systems: Novel Authentication Method to Counteract Sybil and Flood Attacks. Presented at 4th International Conference on Robotics and Control Engineering, Edinburgh

This paper introduces an innovative strategy for countering Sybil and DODAG Information Solicitation (DIS) flood attacks within lightweight Internet of Things (IoT) networks. The proposed method combines a one-way hash chain with a Bloom filter, leve... Read More about Safeguarding IoT Systems: Novel Authentication Method to Counteract Sybil and Flood Attacks.

AI in Energy Digital Twining: A Reinforcement Learning-Based Adaptive Digital Twin Model for Green Cities (2024)
Presentation / Conference Contribution
Cakir, V. L., Duran, K., Thomson, C., Broadbent, M., & Canberk, B. (2024, June). AI in Energy Digital Twining: A Reinforcement Learning-Based Adaptive Digital Twin Model for Green Cities. Presented at ICC 2024 - IEEE International Conference on Communications, Denver, CO, USA

Digital Twins (DT) have become crucial to achieve sustainable and effective smart urban solutions. However, current DT modelling techniques cannot support the dynamicity of these smart city environments. This is caused by the lack of right-time data... Read More about AI in Energy Digital Twining: A Reinforcement Learning-Based Adaptive Digital Twin Model for Green Cities.

A YANG-Aided Unified Strategy for Black Hole Detection for Backbone Networks (2024)
Presentation / Conference Contribution
Ak, E., Kaya, K., Ozaltun, E., Gunduz Oguducu, S., & Canberk, B. (2024, June). A YANG-Aided Unified Strategy for Black Hole Detection for Backbone Networks. Presented at ICC 2024 - IEEE International Conference on Communications, Denver, CO, USA

Despite the crucial importance of addressing Black Hole failures in Internet backbone networks, effective detection strategies in backbone networks are lacking. This is largely because previous research has been centered on Mobile Ad-hoc Networks (MA... Read More about A YANG-Aided Unified Strategy for Black Hole Detection for Backbone Networks.

Assessment and Analysis of IoT Protocol Effectiveness in Data Exfiltration Scenario (2024)
Presentation / Conference Contribution
Adesanya, O. M., Moradpoor, N., Maglaras, L., Lim, I. S., & Ferrag, M. A. (2024, April). Assessment and Analysis of IoT Protocol Effectiveness in Data Exfiltration Scenario. Presented at 2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), Abu Dhabi, United Arab Emirates

The rapid growth of Internet of Things technology has introduced an era of numerous interconnected devices, transforming the communication with the physical world. However, the security and privacy of the data generated and stored on these devices ha... Read More about Assessment and Analysis of IoT Protocol Effectiveness in Data Exfiltration Scenario.

Enhancing Cloud Computing Security Through Blockchain-Based Communication for Electronic Health Records (2024)
Presentation / Conference Contribution
Noyon, M. S. I., Moradpoor, N., Maglaras, L., & Ahmad, J. (2024, April). Enhancing Cloud Computing Security Through Blockchain-Based Communication for Electronic Health Records. Presented at DCOSS-IoT 2024, Abu Dhabi, United Arab Emirates

The health sector stands as one of the most crucial and vulnerable domains, harbouring extensive personal data. Particularly, Electronic Health Records store information in electronic media where users lack control over their data. Unauthorized acces... Read More about Enhancing Cloud Computing Security Through Blockchain-Based Communication for Electronic Health Records.

An Intelligent Digital Twin Model for Attack Detection in Zero-Touch 6G Networks (2024)
Presentation / Conference Contribution
Bolat-Akça, B., Bozkaya-Aras, E., Canberk, B., Buchanan, B., & Schmid, S. (2024, June). An Intelligent Digital Twin Model for Attack Detection in Zero-Touch 6G Networks. Presented at 2024 IEEE International Conference on Communications Workshops (ICC Workshops), Denver, CO, USA

The rapid adoption of Internet of Things (IoT) services and the increasingly stringent dependability and performance requirements are transforming next-generation wireless network management towards zero-touch 6G networks. Zero-touch management is al... Read More about An Intelligent Digital Twin Model for Attack Detection in Zero-Touch 6G Networks.

PULRAS: A Novel PUF-Based Lightweight Robust Authentication Scheme (2024)
Presentation / Conference Contribution
Yaqub, Z., Yigit, Y., Maglaras, L., Tan, Z., & Wooderson, P. (2024, April). PULRAS: A Novel PUF-Based Lightweight Robust Authentication Scheme. Presented at The 20th Annual International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT 2024), Abu Dhabi, UAE

In the rapidly evolving landscape of Intelligent Transportation Systems (ITS), Vehicular Ad-hoc Networks (VANETs) play a critical role in enhancing road safety and traffic flow. However, VANETs face significant security and privacy challenges due to... Read More about PULRAS: A Novel PUF-Based Lightweight Robust Authentication Scheme.

Advancements in Federated Learning for Health Applications: A Concise Survey (2024)
Presentation / Conference Contribution
Stamatis, V., Radoglou-Grammatikis, P., Sarigiannidis, A., Pitropakis, N., Lagkas, T., Argyriou, V., Markakis, E., & Sarigiannidis, P. (2024, April). Advancements in Federated Learning for Health Applications: A Concise Survey. Presented at 2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), Abu Dhabi, United Arab Emirates

Smart solutions in the healthcare domain have garnered considerable attention due to their potential to enhance standard treatment methods and improve overall health. However, privacy concerns often prevent the sharing of healthcare data, which can l... Read More about Advancements in Federated Learning for Health Applications: A Concise Survey.

Information flow and Laplacian dynamics on local optima networks (2024)
Presentation / Conference Contribution
Richter, H., & Thomson, S. L. (2024, June). Information flow and Laplacian dynamics on local optima networks. Presented at IEEE Congress on Evolutionary Computation (IEEE CEC), Yokohama, Japan

We propose a new way of looking at local optima networks (LONs). LONs represent fitness landscapes; the nodes are local optima, and the edges are search transitions between them. Many metrics computed on LONs have been proposed and shown to be linked... Read More about Information flow and Laplacian dynamics on local optima networks.

BOAZ, Yet Another Layered Evasion Tool: Evasion Tool Evaluations and AV Testing (2024)
Presentation / Conference Contribution
Macfarlane, R., & Xuan Meng, T. (2024, August). BOAZ, Yet Another Layered Evasion Tool: Evasion Tool Evaluations and AV Testing. Presented at blackhat USA 2024, Las Vegas, US

In the rapidly evolving landscape of cybersecurity, there has been an increasing deployment of evasion techniques in organizational vulnerability assessments and found post-discovery of security incidents, owing to the more sophisticated defense mech... Read More about BOAZ, Yet Another Layered Evasion Tool: Evasion Tool Evaluations and AV Testing.

Analysis of a Novel Solar Concentrator for Building Integrated Photovoltaic Application (2024)
Presentation / Conference Contribution
Kumar, A. K., Muhammad-Sukki, F., Abu-Bakar, S. H., Bani, N. A., Mas'ud, A. A., Ahmed, J., Ahmad, N., & Wan-Mohtar, W. A. A. Q. I. (2024, July). Analysis of a Novel Solar Concentrator for Building Integrated Photovoltaic Application. Presented at 2024 IEEE Symposium on Industrial Electronics & Applications (ISIEA), Kuala Lumpur, Malaysia

This research work focuses on developing a novel solar concentrator – a rectangular-based rotationally asymmetrical compound parabolic concentrator (RRACPC) design. This design is unique in its rectangular exit aperture, entrance aperture, and half-a... Read More about Analysis of a Novel Solar Concentrator for Building Integrated Photovoltaic Application.

An Innovative Approach to Geotechnical Seismic Isolation: Rubber-Soil Mixture Trenches (2024)
Presentation / Conference Contribution
Bernal-Sanchez, J., Mcdougall, J., Barreto, D., Dimitriadi, V., Leak, J., & Nseabasi, M. (2024, June). An Innovative Approach to Geotechnical Seismic Isolation: Rubber-Soil Mixture Trenches. Presented at 18th World Conference on Earthquake Engineering, Milan, Italy

This study presents a Geotechnical Seismic Isolation (GSI) system proposed for utilising Rubber-Soil mixtures (RSm) to enhance the dynamic performance of a modified soil and foundation structure. The inclusion of RSm enables the system to exhibit low... Read More about An Innovative Approach to Geotechnical Seismic Isolation: Rubber-Soil Mixture Trenches.

The Easiest Hard Problem: Now Even Easier (2024)
Presentation / Conference Contribution
Horn, R., Thomson, S. L., van den Berg, D., & Adriaans, P. (2024, July). The Easiest Hard Problem: Now Even Easier. Presented at ACM Genetic and Evolutionary Computation Conference (GECCO) 2024, Melbourne, Australia

We present an exponential decay function that characterizes the number of solutions to instances of the Number Partitioning Problem (NPP) with uniform distribution of bits across the integers. This function is fitted on the number of optimal solution... Read More about The Easiest Hard Problem: Now Even Easier.

Nexus between Building-Integrated Photovoltaics (BIPV) and Cultural Heritage: Optical Characterisation of Screen-Printed Traditional Symbols on Solar Cells (2024)
Presentation / Conference Contribution
Awuku, S. A., Bennadji, A., Muhammad-Sukki, F., Prabhu, R., & Sellami, N. (2024, June). Nexus between Building-Integrated Photovoltaics (BIPV) and Cultural Heritage: Optical Characterisation of Screen-Printed Traditional Symbols on Solar Cells. Presented at 4th Annual Conference Solar And Wind Power, Edinburgh

This preliminary study adopts a screen-printing technique to transfer traditional Adinkra symbols onto monocrystalline solar cells. The study reveals that custom patterns for the top contact design of solar cells are achievable through direct screen-... Read More about Nexus between Building-Integrated Photovoltaics (BIPV) and Cultural Heritage: Optical Characterisation of Screen-Printed Traditional Symbols on Solar Cells.

Exploring the use of fitness landscape analysis for understanding malware evolution (2024)
Presentation / Conference Contribution
Babaagba, K., Murali, R., & Thomson, S. L. (2024, July). Exploring the use of fitness landscape analysis for understanding malware evolution. Presented at ACM Genetic and Evolutionary Computation Conference (GECCO) 2024, Melbourne, Australia

We conduct a preliminary study exploring the potential of using fitness landscape analysis for understanding the evolution of malware. This type of optimisation is fairly new and has not previously been studied through the lens of landscape analysis.... Read More about Exploring the use of fitness landscape analysis for understanding malware evolution.

Improving Efficiency of Evolving Robot Designs via Self-Adaptive Learning Cycles and an Asynchronous Architecture (2024)
Presentation / Conference Contribution
Le Goff, L., & Hart, E. (2024, July). Improving Efficiency of Evolving Robot Designs via Self-Adaptive Learning Cycles and an Asynchronous Architecture. Presented at GECCO 2024 Embodied and Evolved Artificial Intelligence Workshop, Melbourne, Australia

Algorithmic frameworks for the joint optimisation of a robot's design and controller often utilise a learning loop nested within an evolutionary algorithm to refine the controller associated with a newly generated robot design. Intuitively, it is rea... Read More about Improving Efficiency of Evolving Robot Designs via Self-Adaptive Learning Cycles and an Asynchronous Architecture.

Explaining evolutionary feature selection via local optima networks (2024)
Presentation / Conference Contribution
Adair, J., Thomson, S. L., & Brownlee, A. E. I. (2024, July). Explaining evolutionary feature selection via local optima networks. Presented at ACM Genetic and Evolutionary Computation Conference (GECCO) 2024, Melbourne, Australia

We analyse fitness landscapes of evolutionary feature selection to obtain information about feature importance in supervised machine learning. Local optima networks (LONs) are a compact representation of a landscape, and can potentially be adapted fo... Read More about Explaining evolutionary feature selection via local optima networks.

Aero-Servo-Elastic Simulation of the IEA 15MW Reference Wind Turbine for Direct Drive Generator Integrity Modelling (2024)
Presentation / Conference Contribution
Bichan, M., Jaen-Sola, P., Sellami, N., & Muhammad Sukki, F. (2024, June). Aero-Servo-Elastic Simulation of the IEA 15MW Reference Wind Turbine for Direct Drive Generator Integrity Modelling. Presented at 4th Annual Solar and Wind Power Conference, Edinburgh, UK

This paper presents the development of a full turbine model and subsequent aero-servo-elastic simulation of the IEA 15MW Reference Wind Turbine, such that aerodynamic loads can be obtained and then applied to a simplified drivetrain in Finite-Element... Read More about Aero-Servo-Elastic Simulation of the IEA 15MW Reference Wind Turbine for Direct Drive Generator Integrity Modelling.

Aero-Servo-Elastic Simulation of the International Energy Agency’s 15MW Reference Wind Turbine for Direct-Drive Generator Integrity Modelling (2024)
Presentation / Conference Contribution
Bichan, M., Jaen-Sola, P., Sellami, N., & Muhammad-Sukki, F. (2024, June). Aero-Servo-Elastic Simulation of the International Energy Agency’s 15MW Reference Wind Turbine for Direct-Drive Generator Integrity Modelling. Presented at ASWEC 2024: 4th Annual Conference Solar and Wind Power, Edinburgh

This paper presents the development of a full turbine model and subsequent aero-servo-elastic simulation of the IEA 15MW Reference Wind Turbine, such that aerodynamic loads can be obtained and then applied to a simplified drivetrain in Finite-Element... Read More about Aero-Servo-Elastic Simulation of the International Energy Agency’s 15MW Reference Wind Turbine for Direct-Drive Generator Integrity Modelling.