Outputs (984)

TRIST: Towards a container-based ICS testbed for cyber threat simulation and anomaly detection (2025)
Presentation / Conference Contribution

Cyber-attacks on Industrial Control Systems (ICS), as exemplified by the incidents at the Maroochy water treatment plant and the Ukraine's electric power grid, have demonstrated that cyber threats can inflict significant physical impacts. These incid... Read More about TRIST: Towards a container-based ICS testbed for cyber threat simulation and anomaly detection.

Hybrid graph convolutional LSTM model for spatio-temporal air quality transfer learning (2025)
Journal Article

The short-term air quality forecasting models serve as an early warning system for local agencies, aiding in preparing mitigation strategies against severe pollution episodes. This paper explores the application of Transfer Learning to enhance short-... Read More about Hybrid graph convolutional LSTM model for spatio-temporal air quality transfer learning.

ResNet18 performance: Impact of network depth and image resolution on image classification (2025)
Presentation / Conference Contribution

This study explores aspects of using ResNet18 for the classification of biomedical images, using the 2D medical images from the MedMNIST library that is widely used for benchmarking. The number of layers within the ResNet18 was studied. The typically... Read More about ResNet18 performance: Impact of network depth and image resolution on image classification.

Integrating students as academic partners in software engineering: A group software development case study (2025)
Presentation / Conference Contribution

Exploring the role of a Student as an Academic Partner (SAP) in software engineering education, this study investigates the interactions between students and faculty and evaluates the perceptions of students on SAP's integration within a Group Softwa... Read More about Integrating students as academic partners in software engineering: A group software development case study.

Domain-specific implications of error-type metrics in risk-based software fault prediction (2025)
Journal Article

In software development, Software Fault Prediction (SFP) is essential for optimising resource allocation and improving testing efficiency. Traditional SFP methods typically use binary-class models, which can provide a limited perspective on the varyi... Read More about Domain-specific implications of error-type metrics in risk-based software fault prediction.

Privacy based triage of suspicious activity reports using offline large language models (2024)
Book Chapter

Suspicious Activity Reports (SAR) form a vital part of incident response and case management for the investigation of known or suspected money laundering. However, those submitting SARs, and those tasked with analysing SARs, often find the task overw... Read More about Privacy based triage of suspicious activity reports using offline large language models.

History-enhanced ICT For Sustainability education: Learning together with Business Computing students (2024)
Presentation / Conference Contribution

his research explores the use of History to enhance education in the field of ICT For Sustainability (ICT4S) in response to a challenge from the ICT4S 2023 conference. No previous studies were found in ICT4S but the literature on History and Educatio... Read More about History-enhanced ICT For Sustainability education: Learning together with Business Computing students.

Zero-day android botnet detection using neural networks (2024)
Journal Article

Android devices have evolved to offer a diverse array of services, spanning applications related to banking, business, health, and entertainment. The widespread adoption of Android devices, coupled with the open-source architecture of the Android ope... Read More about Zero-day android botnet detection using neural networks.

Modelling generalised symmetry in neural networks (2024)
Presentation / Conference Contribution

Responding to the relationships between stimuli (i.e., relational responding) plays a central role in human intelligence (Colbert, 2017, Cassidy, 2016). Decades of psychological research have shown how relational responding behaviour is first learned... Read More about Modelling generalised symmetry in neural networks.

Neurons as autoencoders (2024)
Journal Article

This letter presents the idea that neural backpropagation is exploiting dendritic processing to enable individual neurons to perform autoencoding. Using a very simple connection weight search heuristic and artificial neural network model, the effects... Read More about Neurons as autoencoders.

KLANG: Live and expressive C++ for audio [ADC24 Workshop] (2024)
Presentation / Conference Contribution

This workshop provides a practical introduction to two technologies developed to support C++ audio development: klang, a C++ dialect (language extension) that adds audio DSP semantics to modern C++, and rapIDE (rapid audio prototyping IDE), a complet... Read More about KLANG: Live and expressive C++ for audio [ADC24 Workshop].

In between: Ghostly control through slowness and the relational (2024)
Presentation / Conference Contribution

This presentation is about space and sustainability, exploring Massey’s theory of space and how it can enform musical interface design. In particular, how something can be imagined from the old and remade anew.

A multimodal approach to biometric authentication (2024)
Presentation / Conference Contribution

A multimodal approach to biometric authentication leverages multiple physiological and behavioural characteristics to verify an individual's identity. Combining different modalities, such as facial recognition , fingerprint scanning, and voice recogn... Read More about A multimodal approach to biometric authentication.

Digital twins of cyber physical systems in smart manufacturing for threat simulation and detection with deep learning for time series classification (2024)
Presentation / Conference Contribution

With increasing reliance on Cyber Physical Systems (CPS) for automation and control in Industry 4.0 and 5.0, ensuring their security against cyber threats has become paramount. Traditional security mechanisms, constrained by operational continuity an... Read More about Digital twins of cyber physical systems in smart manufacturing for threat simulation and detection with deep learning for time series classification.

On recombination (2024)
Journal Article

The predominant explanations for the inclusion of chromosomal recombination during meiosis are either that it serves as a mechanism for repair or for increased adaptability. However, neither gives a clear immediate selective advantage to the reproduc... Read More about On recombination.

Evaluating data distribution strategies in federated learning: A trade-off analysis between privacy and performance for IoT security (2024)
Presentation / Conference Contribution

Federated learning is an effective approach for training a global machine learning model. It uses locally acquired data without having to share local data with the centralised server. This method provides a machine learning model beneficial for all p... Read More about Evaluating data distribution strategies in federated learning: A trade-off analysis between privacy and performance for IoT security.

Analyst-driven XAI for time series forecasting: Analytics for telecoms maintenance (2024)
Presentation / Conference Contribution

Time series forecasting facilitates real-time anomaly detection in telecom networks, predicting events that disrupt security and service. Current research efforts have been found to focus on new forecasting libraries, more rigorous data cleaning meth... Read More about Analyst-driven XAI for time series forecasting: Analytics for telecoms maintenance.

Leveraging deep learning for enhanced software fault prediction using error-type metrics (2024)
Presentation / Conference Contribution

Software Fault Prediction (SFP) is a crucial strategy in software quality assurance, aiming to reduce costs and optimise resource allocation by identifying potentially faulty software modules based on key project characteristics. Despite significant... Read More about Leveraging deep learning for enhanced software fault prediction using error-type metrics.

The ballad of the bots: Sonification using cognitive metaphor to support immersed teleoperation of robot teams (2024)
Journal Article

As an embodied and spatial medium, virtual reality is proving an attractive proposition for robot teleoperation in hazardous environments. This paper examines a nuclear decommissioning scenario in which a simulated team of semi-autonomous robots are... Read More about The ballad of the bots: Sonification using cognitive metaphor to support immersed teleoperation of robot teams.

Vulnerability detection through machine learning-based fuzzing: A systematic review (2024)
Journal Article

Modern software and networks underpin our digital society, yet the rapid growth of vulnerabilities that are uncovered within these threaten our cyber security posture. Addressing these issues at scale requires automated proactive approaches that can... Read More about Vulnerability detection through machine learning-based fuzzing: A systematic review.