Privacy Risk Assessment in Context: A Meta-Model based on Contextual Integrity
- Submitting institution
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Bournemouth University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 309777
- Type
- D - Journal article
- DOI
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10.1016/j.cose.2019.01.003
- Title of journal
- Computers and Security
- Article number
- 0
- First page
- 270
- Volume
- 82
- Issue
- 0
- ISSN
- 0167-4048
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2019
- URL
-
-
- Supplementary information
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- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
-
- Research group(s)
-
-
- Citation count
- 3
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presents a translation of contextual integrity (CI), a highly regarded theoretical privacy assessment framework, into a meta-model that can be applied in practice. The model was the first to demonstrate how CI might be applied in practice. The findings from the supporting case study showed how some local authority data sets already published contained personal and/or sensitive data. This paper is significant because it demonstrates how translating the theory into a step-by-step questionnaire, practitioners are able to better understand and therefore assess the privacy risks associated with making data available in open format prior to publication.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -