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Neurodiverse knowledge, skills and ability assessment for cyber security

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Scanlan, J ORCID: 0000-0003-2285-8932, Watters, PA, Eddy, A, Fieldhouse, M, Thomas, T, Fung, L, Tan, T, Girdler, S and Chen, Y-PP 2020 , 'Neurodiverse knowledge, skills and ability assessment for cyber security', paper presented at the 2020 Australasian Conference on Information Systems, 1-4 December 2020, Wellington, New Zealand.

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Abstract

Cyber attacks have become commonplace and cause harm to IT systems operated by governments, businesses and citizens. As a result, there has been substantial job growth within the cyber security industry to try and meet the need for network defence. However, due to fierce competition for with the relevant skills there is a shortfall in skilled workers able to fill these roles. The goal of this project is to develop, validate and verify a novel solution for the recruitment of highly competent cyber security staff who can defend our nation against capable and well-funded adversaries. The proposed solution involves the development of a training scheme to train neurodiverse individuals for these roles. There is evidence for their interest and aptitude within the sector, but no research has been undertaken to establish how best to train them in the context of their individual differences.

Item Type: Conference or Workshop Item (Paper)
Authors/Creators:Scanlan, J and Watters, PA and Eddy, A and Fieldhouse, M and Thomas, T and Fung, L and Tan, T and Girdler, S and Chen, Y-PP
Keywords: cyber security, education, autism
Journal or Publication Title: Proceedings of the 2020 Australasian Conference on Information Systems
Copyright Information:

Copyright 2020 Joel Scanlan, Paul A. Watters, Andrew Eddy, Michael Fieldhouse, Teresa Thomas, Lawrence Fung, Tele Tan, Sonya Girdler, Yi-Ping Phoebe Chen. This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 New Zealand, which permits noncommercial use, distribution, and reproduction in any medium, provided the original author and ACIS are credited.

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