Marko Zivanovic
ABSTRACT
Demand for cybersecurity experts is high, driven by the increasing digitization of society and increasing number of sophisticated, targeted cyber attacks. Despite this pressing need, a significant shortfall in the number of cybersecurity experts remains due to very diverse landscape of knowledge and complex curriculum accreditation process. In this paper, we present a new model for curriculum analysis and adjustment that addresses entire curricula or course material. It employs machine learning and text-mining techniques for keyword extraction and further comparison with reference skills frameworks. The analysis illustrates a new measurement that quantifies coverage of cybersecurity role and its importance within curriculum based on keyword matching. The case study was conducted with university curricula from Europe and North America. The results illustrate curriculum coverage according to the ENISA's European Cybersecurity Skills Framework (ECSF) roles and optimization progress after our method application.
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Index Terms
- Dynamic Cybersecurity Curriculum Optimization Method (DyCSCOM)
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