All Outputs (10993)

A Blockchain-based Multi-Factor Honeytoken Dynamic Authentication Mechanism (2024)
Presentation / Conference Contribution
Papaspirou, V., Kantzavelou, I., Yigit, Y., Maglaras, L., & Katsikas, S. (2024, July). A Blockchain-based Multi-Factor Honeytoken Dynamic Authentication Mechanism. Presented at ARES 2024: The 19th International Conference on Availability, Reliability and Security, Vienna, Austria

The evolution of authentication mechanisms in ensuring secure access to systems has been crucial for mitigating vulnerabilities and enhancing system security. However, despite advancements in two-factor authentication (2FA) and multi-factor authentic... Read More about A Blockchain-based Multi-Factor Honeytoken Dynamic Authentication Mechanism.

Preface: The 4th Annual Conference Solar and Wind Power (2024)
Presentation / Conference Contribution
Sellami, N., Muhammad-Sukki, F., & Sola, P. (2024, June). Preface: The 4th Annual Conference Solar and Wind Power. Presented at ASWEC 2024: 4th Annual Conference on Solar and Wind Power, Edinburgh

Abstract not available.

Sustainable Preservation: Design of Solar Photovoltaic (PV) Panels for Listed Buildings in Scotland with Consideration of Cleaning Methods (2024)
Presentation / Conference Contribution
Shobande, R., & Sellami, N. (2024, June). Sustainable Preservation: Design of Solar Photovoltaic (PV) Panels for Listed Buildings in Scotland with Consideration of Cleaning Methods. Presented at ASWEC 2024: 4th Annual Conference Solar and Wind Power, Edinburgh

Improving energy efficiency in listed buildings to reduce greenhouse gas emissions (GHGs) by using a monocrystalline solar PV system with the Dar-Al-Arqam mosque in Edinburgh as a case study. Leveraging PVsyst simulation software, various solar PV de... Read More about Sustainable Preservation: Design of Solar Photovoltaic (PV) Panels for Listed Buildings in Scotland with Consideration of Cleaning Methods.

Generative Design and Additive Manufacturing Techniques on the Optimization of Multi-MW Offshore Direct-Drive Wind Turbine Electrical Generators (2024)
Presentation / Conference Contribution
Gonzalez-Delgado, D., Jaen-Sola, P., & Oterkus, E. (2024, June). Generative Design and Additive Manufacturing Techniques on the Optimization of Multi-MW Offshore Direct-Drive Wind Turbine Electrical Generators. Presented at ASWEC 2024: 4th Annual Conference Solar and Wind Power, Edinburgh

New advances in structural optimization techniques and manufacturing methods, such as generative design (GD) and additive manufacturing (AM), are revolutionizing the capabilities to generate high-efficiency and lightweight models in comparison with c... Read More about Generative Design and Additive Manufacturing Techniques on the Optimization of Multi-MW Offshore Direct-Drive Wind Turbine Electrical Generators.

Smarter Facility Layout Design: Leveraging Worker Localisation Data to Minimise Travel Time and Alleviate Congestion (2024)
Journal Article
Aslan, A., Vasantha, G., El-Raoui, H., Quigley, J., Hanson, J., Corney, J., & Sherlock, A. (online). Smarter Facility Layout Design: Leveraging Worker Localisation Data to Minimise Travel Time and Alleviate Congestion. International Journal of Production Research, https://doi.org/10.1080/00207543.2024.2374847

This paper introduces a novel methodology leveraging worker localisation data from ultrawide-band sensors to formulate alternative facility layouts aimed at minimising travel time and congestion in labour-intensive manufacturing systems. The system p... Read More about Smarter Facility Layout Design: Leveraging Worker Localisation Data to Minimise Travel Time and Alleviate Congestion.

The ‘Skills Gap’ in the Animation/VFX industry in Scotland (2024)
Journal Article
Mortimer, J., Richards, K., & Pilcher, N. (in press). The ‘Skills Gap’ in the Animation/VFX industry in Scotland. Animation,

Integral to the Animation and visual effects (VFX) industry are graduates with industry focused skills. Yet, the industry is rapid and ever-changing, almost defying attempts to define it. How then should Animation/VFX, and indeed any subject of a sim... Read More about The ‘Skills Gap’ in the Animation/VFX industry in Scotland.

Examining the Strength of Three Word Passwords (2024)
Presentation / Conference Contribution
Fraser, W., Broadbent, M., Pitropakis, N., & Chrysoulas, C. (2024, June). Examining the Strength of Three Word Passwords. Presented at ICT Systems Security and Privacy Protection (SEC 2024), Edinburgh

Passwords make up the most common method of authentication. With ever increasing computing power, password complexity has had to keep pace. This creates a challenge for remembering all complex passwords which some password policies attempt to resolve... Read More about Examining the Strength of Three Word Passwords.

Malicious Insider Threat Detection Using Sentiment Analysis of Social Media Topics (2024)
Presentation / Conference Contribution
Kenny, M., Pitropakis, N., Sayeed, S., Chrysoulas, C., & Mylonas, A. (2024, June). Malicious Insider Threat Detection Using Sentiment Analysis of Social Media Topics. Presented at 39th IFIP International Conference, SEC 2024, Edinburgh

Malicious insiders often pose a danger to information security systems, which can be a crucial challenge to tackle. Existing technological solutions attempt to identify potential threats via their anomalous system interactions, however, fully fail to... Read More about Malicious Insider Threat Detection Using Sentiment Analysis of Social Media Topics.

Neurosymbolic Learning intheXAI Framework forEnhanced Cyberattack Detection withExpert Knowledge Integration (2024)
Presentation / Conference Contribution
Kalutharage, C. S., Liu, X., Chrysoulas, C., & Bamgboye, O. (2024, June). Neurosymbolic Learning intheXAI Framework forEnhanced Cyberattack Detection withExpert Knowledge Integration. Presented at The 39th International Conference on ICT Systems Security and Privacy Protection (SEC 2024), Edinburgh

The perpetual evolution of cyberattacks, especially in the realm of Internet of Things (IoT) networks, necessitates advanced, adaptive, and intelligent defence mechanisms. The integration of expert knowledge can drastically enhance the efficacy of Io... Read More about Neurosymbolic Learning intheXAI Framework forEnhanced Cyberattack Detection withExpert Knowledge Integration.

Transforming EU Governance: The Digital Integration Through EBSI and GLASS (2024)
Presentation / Conference Contribution
Kasimatis, D., Buchanan, W. J., Abubakar, M., Lo, O., Chrysoulas, C., Pitropakis, N., Papadopoulos, P., Sayeed, S., & Sel, M. (2024, June). Transforming EU Governance: The Digital Integration Through EBSI and GLASS. Presented at 39th IFIP International Conference, Edinburgh, UK

Traditionally, government systems managed citizen identities through disconnected data systems, using simple identifiers and paper-based processes, limiting digital trust and requiring citizens to request identity verification documents. The digital... Read More about Transforming EU Governance: The Digital Integration Through EBSI and GLASS.

UAVs and Blockchain Synergy: Enabling Secure Reputation-based Federated Learning in Smart Cities (2024)
Journal Article
Aqleem Abbas, S. M., Khan, M. A., Boulila, W., Kouba, A., Shahbaz Khan, M., & Ahmad, J. (online). UAVs and Blockchain Synergy: Enabling Secure Reputation-based Federated Learning in Smart Cities. IEEE Access, https://doi.org/10.1109/access.2024.3432610

Unmanned aerial vehicles (UAVs) can be used as drones’ edge Intelligence to assist with data collection, training models, and communication over wireless networks. UAV use for smart cities is rapidly growing in various industries, including tracking... Read More about UAVs and Blockchain Synergy: Enabling Secure Reputation-based Federated Learning in Smart Cities.

DeFT-Net: Dual-Window Extended Frequency Transformer for Rhythmic Motion Prediction (2024)
Presentation / Conference Contribution
Ademola, A., Sinclair, D., Koniaris, B., Hannah, S., & Mitchell, K. (2024, September). DeFT-Net: Dual-Window Extended Frequency Transformer for Rhythmic Motion Prediction. Presented at EG UK Computer Graphics & Visual Computing (2024), London

Enabling online virtual reality (VR) users to dance and move in a way that mirrors the real-world necessitates improvements in the accuracy of predicting human motion sequences paving way for an immersive and connected experience. However, the drawba... Read More about DeFT-Net: Dual-Window Extended Frequency Transformer for Rhythmic Motion Prediction.

Enhancing Supercapacitor Electrochemical Performance with 3D Printed Cellular PEEK/MWCNT Electrodes Coated with PEDOT: PSS (2024)
Journal Article
Chandran, A. C. S., Schneider, J., Nair, R., Buchanan, B., Gadegaard, N., Hogg, R., Kumar, S., & Manjakkal, L. (in press). Enhancing Supercapacitor Electrochemical Performance with 3D Printed Cellular PEEK/MWCNT Electrodes Coated with PEDOT: PSS. ACS Omega, 9(31), 33998-34007. https://doi.org/10.1021/acsomega.4c04576

In this study, we examine the electrochemical performance of supercapacitor (SC) electrodes made from 3D-printed nanocomposites. These composites consist of multiwalled carbon nanotubes (MWCNTs) and polyether ether ketone (PEEK), coated with poly­(3,... Read More about Enhancing Supercapacitor Electrochemical Performance with 3D Printed Cellular PEEK/MWCNT Electrodes Coated with PEDOT: PSS.

Multi-Objective Evolutionary Algorithm for Automatic Generation of Adversarial Metamorphic Malware (2024)
Presentation / Conference Contribution
Babaagba, K., Wylie, J., Ayodele, M., & Tan, Z. (2024, September). Multi-Objective Evolutionary Algorithm for Automatic Generation of Adversarial Metamorphic Malware. Presented at 29th European Symposium on Research in Computer Security - SECAI, Bydgoszcz, Poland

The rise of metamorphic malware, a dangerous type of malware, has sparked growing research interest due to its increasing attacks on information assets and computer networks. Sophos’ recent threat report reveals that 94% of malware targeting organiza... Read More about Multi-Objective Evolutionary Algorithm for Automatic Generation of Adversarial Metamorphic Malware.

Auditory Occlusion Based on the Human Body in the Direct Sound Path: Measured and Perceivable Effects (2024)
Presentation / Conference Contribution
McSeveney, S., Tamariz, M., McGregor, I., Koniaris, B., & Mitchell, K. (2024, September). Auditory Occlusion Based on the Human Body in the Direct Sound Path: Measured and Perceivable Effects. Presented at Audio Mostly, Milan, Italy

Audio plays a key role in the sense of immersion and presence in VR, as it correlates to improved enjoyment of content. We share results of a perception study on the ability of listeners to recognise auditory occlusion due to the presence of a human... Read More about Auditory Occlusion Based on the Human Body in the Direct Sound Path: Measured and Perceivable Effects.

A CNN pruning approach using constrained binary particle swarm optimization with a reduced search space for image classification (2024)
Journal Article
Tmamna, J., Ayed, E. B., Fourati, R., Hussain, A., & Ayed, M. B. (2024). A CNN pruning approach using constrained binary particle swarm optimization with a reduced search space for image classification. Applied Soft Computing, 164, Article 111978. https://doi.org/10.1016/j.asoc.2024.111978

Deep convolutional neural networks (CNNs) have exhibited exceptional performance in a range of computer vision tasks. However, these deep CNNs typically demand significant computational resources, which not only hinders their practical deployment but... Read More about A CNN pruning approach using constrained binary particle swarm optimization with a reduced search space for image classification.

Optimizing DMF Utilization for Improved MXene Dispersions in Epoxy Nanocomposites (2024)
Preprint / Working Paper
Ali Janjua, A., Younas, M., Ahmad Ilyas, R., Shyha, I., Haque Faisal, N., Inam, F., & Shahneel Saharudin, M. Optimizing DMF Utilization for Improved MXene Dispersions in Epoxy Nanocomposites

Dimethylformamide (DMF), a polar solvent, is commonly used for preparing graphene/epoxy nanocomposites. While commonly previous research has predominantly highlighted the improvement in physio-mechanical properties of these nanocomposites, the effect... Read More about Optimizing DMF Utilization for Improved MXene Dispersions in Epoxy Nanocomposites.

Towards a Cyberbullying Detection Approach: Fine-Tuned Contrastive Self- Supervised Learning for Data Augmentation (2024)
Journal Article
Alharigy, L., Alnuaim, H., Moradpoor, N., & Tan, T. (online). Towards a Cyberbullying Detection Approach: Fine-Tuned Contrastive Self- Supervised Learning for Data Augmentation. International Journal of Data Science and Analytics, https://doi.org/10.1007/s41060-024-00607-9

Cyberbullying on social media platforms is pervasive and challenging to detect due to linguistic subtleties and the need for extensive data annotation. We introduce a Deep Contrastive Self-Supervised Learning (DCSSL) model that integrates a Natural L... Read More about Towards a Cyberbullying Detection Approach: Fine-Tuned Contrastive Self- Supervised Learning for Data Augmentation.

Investigating Markers and Drivers of Gender Bias in Machine Translations (2024)
Presentation / Conference Contribution
Barclay, P., & Sami, A. (2024, March). Investigating Markers and Drivers of Gender Bias in Machine Translations. Presented at IEEE International Conference on Software Analysis, Evolution and Reengineering, Rovaniemi, Finland

Implicit gender bias in Large Language Models (LLMs) is a well-documented problem, and implications of gender introduced into automatic translations can perpetuate real-world biases. However, some LLMs use heuristics or post-processing to mask such b... Read More about Investigating Markers and Drivers of Gender Bias in Machine Translations.

An Open Intent Discovery Evaluation Framework (2024)
Presentation / Conference Contribution
Anderson, G., Hart, E., Gkatzia, D., & Beaver, I. (2024, September). An Open Intent Discovery Evaluation Framework. Presented at SIGDIAL 2024, Kyoto, Japan