Refereed article in conference proceedings (A4)

AI in Cybersecurity Education- A Systematic Literature Review of Studies on Cybersecurity MOOCs

List of Authors: Samuli Laato, Ali Farooq, Henri Tenhunen, Tinja Pitkämäki, Antti Hakkala, Antti Airola

Conference name: International Conference on Advanced Learning Technologies

Publication year: 2020

Journal: IEEE International Conference on Advanced Learning Technologies

Book title *: 2020 IEEE 20th International Conference on Advanced Learning Technologies (ICALT)

Title of series: IEEE International Conference on Advanced Learning Technologies

ISBN: 978-1-7281-6091-7

eISBN: 978-1-7281-6090-0

ISSN: 2161-3761



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Machine learning (ML) techniques are changing both the offensive and defensive aspects of cybersecurity. The implications are especially strong for privacy, as ML approaches provide unprecedented opportunities to make use of collected data. Thus, education on cybersecurity and AI is needed. To investigate how AI and cybersecurity should be taught together, we look at previous studies on cybersecurity MOOCs by conducting a systematic literature review. The initial search resulted in 72 items and after screening for only peer-reviewed publications on cybersecurity online courses, 15 studies remained. Three of the studies concerned multiple cybersecurity MOOCs whereas 12 focused on individual courses. The number of published work evaluating specific cybersecurity MOOCs was found to be small compared to all available cybersecurity MOOCs. Analysis of the studies revealed that cybersecurity education is, in almost all cases, organised based on the topic instead of used tools, making it difficult for learners to find focused information on AI applications in cybersecurity. Furthermore, there is a gap in the academic literature on how AI applications in cybersecurity should be taught in online courses.

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Last updated on 2022-13-06 at 16:18