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Productive Security: A scalable methodology for analysing employee security behaviours

Beautement, A; Becker, IF; Krol, K; Parkin, S; Sasse, MA; (2016) Productive Security: A scalable methodology for analysing employee security behaviours. [Dataset]. UCL Computer Science: London, UK. Green open access

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Abstract

Supplementary data to SOUPS '16 Paper: A. Beautement, I. Becker, K. Krol, S. Parkin, and M. A. Sasse, ‘Productive Security: A Scalable Methodology for Analysing Employee Security Behaviours’, in Twelfth Symposium on Usable Privacy and Security (SOUPS 2016), Denver, CO, 2016.

Type: Dataset
Title: Productive Security: A scalable methodology for analysing employee security behaviours
Open access status: An open access version is available from UCL Discovery
DOI: 10.14324/000.ds.1496888
Publisher version: http://dx.doi.org/10.14324/000.ds.1496888
Language: English
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Security and Crime Science
URI: https://discovery.ucl.ac.uk/id/eprint/1496888
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