Dawood, Zubeida CMarengwa, Matshidiso S2025-03-252025-03-252024-07http://hdl.handle.net/10204/14199As cyber threats continue to evolve in complexity and frequency, there is an urgent need for effective cybersecurity education and training methodologies. Traditional approaches often fall short in providing learners with personalized and immersive experiences that closely mimic real-world scenarios. In response to this challenge, we propose the development of a Cybersecurity Learning Factory (CLF), leveraging ontology integration to tailor learning experiences for students. By harnessing the power of ontologies, the learning factory can dynamically adapt to the individual skill levels and learning styles of each student, ensuring optimal knowledge acquisition and retention. The use case presented in this paper centers around the cybersecurity challenges faced by an electrical company. By focusing on a practical use case within the electrical industry, this initiative aims to equip students with the knowledge and skills necessary to effectively protect critical infrastructure against cyber threats.FulltextenCybersecurityLearning factoryCybersecurity awarenessCybersecurity trainingLearningOntologyNetworksOntology-driven cybersecurity learning factory: A use case for securing electrical company networksConference Presentationn/a