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dc.contributor.authorThompson, Nik
dc.contributor.authorMcGill, T.
dc.date.accessioned2018-05-18T08:00:46Z
dc.date.available2018-05-18T08:00:46Z
dc.date.created2018-05-18T00:23:30Z
dc.date.issued2017
dc.identifier.citationThompson, N. and McGill, T. 2017. Mining the Mind – Applying Quantitative Techniques to Mental Models of Security, in Proceedings of the 28th Australasian Conference on Information Systems, Paper 125. Hobart, Tasmania: ACIS.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/68099
dc.description.abstract

Mental models, informal representations of reality, provide an appealing explanation for the apparently non-rational security decisions of information technology users. Although users may be attempting to make secure decisions, the use of incomplete or incorrect information security mental models as a shortcut to decision making may lead to undesirable results. We describe mental models about viruses and hackers drawing on data from a survey of 609 adult IT users and link these to security behaviours and perceptions. We find that there are potentially just a small number of common security beliefs and suggest that accommodating mental models during security design may be more beneficial to long-term security than expecting users to change to accommodate security requirements.

dc.rights.urihttp://creativecommons.org/licenses/by-nc-/3.0/
dc.titleMining the Mind – Applying Quantitative Techniques to Mental Models of Security
dc.typeConference Paper
dcterms.source.conferenceAustralasian Conference on Information Systems 2017 (ACIS 2017)
dcterms.source.placeAustralia
curtin.departmentSchool of Management
curtin.accessStatusOpen access


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