Andrew M'manga
System design considerations for risk perception.
M'manga, Andrew; Faily, Shamal; McAlaney, John; Williams, Christopher
Authors
Shamal Faily
John McAlaney
Christopher Williams
Contributors
Sa�d Assar
Editor
Oscar Pastor
Editor
Haralambos Mouratidis
Editor
Abstract
The perception of risk is a driver for security analysts' decision making. However, security analysts may have conflicting views of a risk based on personal, system and environmental factors. This difference in perception and opinion, may impact effective decision making. In this paper, we propose a model that highlights areas contributing to the perception of risk in a socio-technical environment and their implication to system design. We validate the model through the use of a hypothetical scenario, which is grounded in both the literature and empirical data.
Citation
M'MANGA, A., FAILY, S., MCALANEY, J. and WILLIAMS, C. 2017. System design considerations for risk perception. In Assar, S., Pastor, O. and Mouratidis, H. (eds.) Proceedings of the 11th IEEE international conference on research challeneges in information science (RCIS 2017), 10-12 May 2017, Brighton, UK. Piscataway: IEEE [online], pages 322-327. Available from: https://doi.org/10.1109/RCIS.2017.7956554
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 11th IEEE international conference on research challeneges in information science (RCIS 2017) |
Start Date | May 10, 2017 |
End Date | May 12, 2017 |
Acceptance Date | Mar 14, 2017 |
Online Publication Date | Jun 26, 2017 |
Publication Date | Dec 31, 2017 |
Deposit Date | Dec 13, 2021 |
Publicly Available Date | Dec 13, 2021 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Peer Reviewed | Peer Reviewed |
Pages | 322-327 |
Series Title | Proceedings of the International conference on research challenges in information science |
Series ISSN | 2151-1357 |
ISBN | 9781509054770 |
DOI | https://doi.org/10.1109/RCIS.2017.7956554 |
Keywords | Systems security; Security risk analysis; User-centred design; User behaviour; Context awareness; Cognition |
Public URL | https://rgu-repository.worktribe.com/output/1437918 |
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