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Productive Security: A Scalable Methodology for Analysing Employee Security Behaviours

Beautement, A; Becker, I; Parkin, S; Krol, K; Sasse, MA; (2016) Productive Security: A Scalable Methodology for Analysing Employee Security Behaviours. In: Proceedings of the Symposium on Usable Privacy and Security (SOUPS) 2016. (pp. pp. 253-270). USENIX Association: Denver, CO, USA. Green open access

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Abstract

Organisational security policies are often written without sufficiently taking in to account the goals and capabilities of the employees that must follow them. Effective security management requires that security managers are able to assess the effectiveness of their policies, including their impact on employee behaviour. We present a methodology for gathering large scale data sets on employee behaviour and attitudes via scenario-based surveys. The survey questions are grounded in rich data drawn from interviews, and probe perceptions of security measures and their impact. Here we study employees of a large multinational company, demonstrating that our approach is capable of determining important differences between various population groups. We also report that our work has been used to set policy within the partner organisation, illustrating the real-world impact of our research.

Type: Proceedings paper
Title: Productive Security: A Scalable Methodology for Analysing Employee Security Behaviours
Event: Twelfth Symposium on Usable Privacy and Security (SOUPS 2016)
Location: Denver, CO, US
Dates: 22 June 2016 - 24 June 2016
ISBN-13: 9781931971317
Open access status: An open access version is available from UCL Discovery
Publisher version: https://www.usenix.org/system/files/conference/sou...
Language: English
UCL classification: UCL > School of BEAMS
UCL > School of BEAMS > Faculty of Engineering Science
URI: http://discovery.ucl.ac.uk/id/eprint/1496993
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