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Rationalising decision-making about risk: a normative approach.

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

Authors

Andrew M'manga

John McAlaney

Chris Williams



Contributors

Nathan L. Clarke
Editor

Steven M. Furnell
Editor

Abstract

Techniques for determining and applying security decisions typically follow risk-based analytical approaches where alternative options are put forward and weighed in accordance to risk severity metrics based on goals and context. The reasoning or validity behind decision making can, however, prove difficult to determine in conditions characterised by uncertainty stemming from environments with insufficient or incoherent information. This paper approaches the problem by proposing a conceptual model that provides security decision making traceability through auditing decision makers' rationalisation of risk. Additionally, the model highlights the role metacognition plays in identifying and understanding information affordances used for decision making.

Citation

M'MANGA, A., FAILY, S., MCALANEY, J. and WILLIAMS, C. 2018. Rationalising decision-making about risk: a normative approach. In Clarke, N.L. and Furnell, S.M. (eds.) Proceedings of the 12th International symposium on human aspects of information security and assurance (HAISA 2018), 29-31 August 2018, Dundee, UK. Plymouth: University of Plymouth, pages 263-271. Hosted on the CSCAN Archive [online]. Available from: https://www.cscan.org/?page=openaccess&eid=20&id=395

Conference Name 12th International symposium on human aspects of information security and assurance (HAISA 2018)
Conference Location Dundee, UK
Start Date Aug 29, 2018
End Date Aug 31, 2018
Acceptance Date Jul 16, 2018
Publication Date Dec 31, 2018
Deposit Date Sep 19, 2021
Publicly Available Date Dec 9, 2021
Publisher University of Plymouth
Pages 263-271
ISBN 9780244402549
Keywords Systems security; Security risk analysis; User behaviour; Human-computer interaction (HCI); Decision-making
Public URL https://rgu-repository.worktribe.com/output/1437869
Publisher URL https://www.cscan.org/?page=openaccess&eid=20&id=395

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