SOLVE-IT is a MITRE ATT&CK-inspired knowledge base capturing digital forensic techniques, weaknesses, and mitigations. It structures techniques around investigative objectives and supports SOP review, tool evaluation, and identification of research gaps.
Reflects on developing a unified digital forensics competency framework through the Global Cybercrime Certification initiative, sharing lessons from multi-stakeholder collaboration across law enforcement and universities in 27 EU member states.
Explores approaches to developing ethical hacking skills and culture within cyber security education, with a focus on responsible disclosure, professional ethics, and safe learning environments.
Applies a cybernetic framework to teaching agentic AI in cyber security, proposing a collaborative feedback model integrating deductive and abductive reasoning to help students engage purposefully with AI systems.
Reports on adopting Rust as the primary language for a secure systems development module at the University of Glasgow, examining cultural, technological, and pedagogical motivations and lessons from the first cohort.
Presents a human-in-the-loop semantic retrieval tool supporting educators in mapping curriculum content to CyBOK through ranked candidate generation, achieving high practical usefulness across 371 curriculum-derived queries.
Proposes a human-centred pedagogical framework for integrating AI into cyber security education, grounded in a structured literature review and organised around four principles: AI literacy, ethical awareness, experiential learning, and authentic assessment.
Investigates how investigative cyber security learning supports adversarial reasoning and cyber identity development in Key Stage 3 students aged 11 to 14, advancing the Adversarial Reasoning Development Model as a scalable school-based framework.
