Publications
An AI-Powered Learning Companion for Adaptive and Personalized STEM Education
Plain-Language Overview
Optimizing AI System Security: An Ecosystem Recommendation to Socio-Technical Risk Management
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Given the sophistication of adversarial machine learning (ML) attacks on Artificial Intelligence (AI) systems, enhanced security frameworks that integrate human factors into risk assessments are critical. This paper presents a comprehensive methodology combining cybersecurity, cyberpsychology, and AI to address human-related aspects of these attacks. It introduces an AI system security optimization ecosystem to help security officers protect AI systems against various attacks, including poisoning, evasion, extraction, and inference. The risk management approach enhances NIST and ENISA frameworks by incorporating socio-technical aspects of adversarial ML threats. By creating digital clones and using explainable AI (XAI) techniques, the human elements of attackers are integrated into security risk management. An innovative conversational agent is proposed to include defenders’ perspectives, advancing the design and deployment of secure AI systems and guiding future certification schemes.
Recency-Weighted Temporally-Segmented Ensemble for Time-Series Modeling
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Time-series modeling in process industries faces the challenge of dealing with complex, multi-faceted, and evolving data characteristics. Conventional single model approaches often struggle to capture the interplay of diverse dynamics, resulting in suboptimal forecasts. Addressing this, we introduce the Recency-Weighted Temporally-Segmented (ReWTS, pronounced `roots’) ensemble model, a novel chunk-based approach for multi-step forecasting. The key […]
The Human Factor Impact on a Supply Chain Tracking Service Through a Risk Assessment Methodology
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Towards a Human-Centric AI Trustworthiness Risk Management Framework
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The evolving landscape of Artificial Intelligence (AI) seeks to emulate human behaviour within socio-technical systems, emphasizing AI engineering to supplant human decision-making. However, an excessive focus on AI system autonomy raises con- cerns such as bias and ethical lapses, eroding trust and diminishing performance. Such a lack of human integration into the AI decision-making loop, […]
A Self-Organized Swarm Intelligence Solution for Healthcare ICT Security
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Leveraging the European Cybersecurity Skills Framework(ECSF) in EU Innovation Projects: Workforce Development Through Skilling, Upskilling, and Reskilling
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Cybersecurity skilled workforce is a critical challenge for Europe. The increasing sophistication and frequency of cyberattacks demand a skilled and competent workforce to protect digital infrastructure and ensure online safety. This paper presents a viable solution for European cybersecurity workforce development and capacity-building efforts, leveraging the European Cybersecurity Skills Framework (ECSF) to facilitate cybersecurity training […]
Human Factors and Cybersecurity in NHS Virtual Wards
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The rapid evolution of healthcare technology, particularly in the wake of the COVID-19 pandemic, has led to a significant increase in the establishment and expansion of Virtual Wards by the National Health Service (NHS) in the United Kingdom. Virtual wards provide patients with hospital-level care in the comfort of their homes, facil- itating quicker recovery […]
Understanding evacuation behavior for effective disaster preparedness: a hybrid machine learning approach
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This paper delves into the pivotal role of machine learning in responding to natural disasters and understanding human behavior during crises. Natural disasters, from earthquakes to floods, have profound consequences for both the environment and society, impacting health, the economy, and mental well-being. Prevention and preparedness are key components of disaster management, yet the psychological […]
Enhancing Cybersecurity Training Efficacy: A Comprehensive Analysis of Gamified Learning, Behavioral Strategies and Digital Twins
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This paper delves into enhancing cybersecurity training efficacy through an in-depth examination of gamified learning, behavioural strategies, and the deployment of digital twins. It identifies the critical role of behavioural strategies in bolstering cybersecurity defences by influencing human behaviour. The study explores the benefits of gamified learning in engaging participants and improving knowledge acquisition, alongside […]