Taylor-Jackson, J., McAlaney, J., Foster, J.L., Bello, A., Maurushat, A. and Dale, J., 2020. Incorporating psychology into cyber security education: A pedagogical approach. In: International Conference on Financial Cryptography and Data Security FC 2020: Financial Cryptography and Data Security, 14 February 2020, Kota Kinabalu, Malaysia, 207 - 217.
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DOI: 10.1007/978-3-030-54455-3_15
Abstract
The role of the human in cyber security is well acknowledged. Many cyber security incidents rely upon targets performing specific behavioural actions, such as opening a link within a phishing email. Cyber adversaries themselves are driven by psychological processes such as motivation, group dynamics and social identity. Furthermore, both intentional and unintentional insider threats are associated with a range of psychological factors, including cognitive load, mental wellbeing, trust and interpersonal relations. By incorporating psychology into cyber security education, practitioners will be better equipped with the skills they need to address cyber security issues. However, there are challenges in doing so. Psychology is a broad discipline, and many theories, approaches and methods may have little practical significance to cyber security. There is a need to sift through the literature to identify what can be applied to cyber security. There are also pedagogical differences in how psychology and cyber security are taught and also psychological differences in the types of student that may typically study psychology and cyber security. To engage with cyber security students, it is important that these differences are identified and positively addressed. Essential to this endeavor is the need to discuss and collaborate across the two disciplines. In this paper, we explore these issues and discuss our experiences as psychology and cyber security academics who work across disciplines to deliver psychology education to cyber security students, practitioners and commercial clients.
Item Type: | Conference or Workshop Item (Paper) |
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ISSN: | 0302-9743 |
Group: | Faculty of Science & Technology |
ID Code: | 34711 |
Deposited By: | Symplectic RT2 |
Deposited On: | 20 Oct 2020 12:13 |
Last Modified: | 14 Mar 2022 14:24 |
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