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System design considerations for risk perception.

M'manga, Andrew; Faily, Shamal; McAlaney, John; Williams, Christopher

Authors

Andrew M'manga

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

Conference Name 11th IEEE international conference on research challeneges in information science (RCIS 2017)
Conference Location Brighton, UK
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)
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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