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.
A large-scale empirical mapping of 190 UK cyber security degree programmes against CyBOK Knowledge Areas, revealing substantial curriculum variation and examining the relationship between NCSC accreditation, coverage breadth, and graduate outcomes.
Examines how an MSc Cyber Security programme can embed discipline-specific AI competencies drawing on the UNESCO AI Competency Framework, with case studies spanning CyBOK knowledge areas.
Proposes the Work Alignment Framework, a four-layer model establishing shared vocabulary and a Task by Capability mapping method to address the misalignment between educational credentials and the aptitudes required for effective cyber security practice.
The National Cyber & Forensics Alliance (NCFA) is a UK-founded, student-led initiative bringing together cybersecurity and digital forensics students and societies from across the world. Through connections with industry, partners, and international peers, NCFA creates opportunities for collaboration beyond individual universities. Supported by CSE Connect, the alliance enables access to shared resources, national and international events, Capture the Flag (CTF) competitions, and leadership development. Member societies remain fully independent, maintaining their own identity, structure, and branding while benefiting from a growing global student network.