Privacy risk assessment in context: A meta-model based on contextual integrity

Publishing data in open format is a growing trend, particularly for public bodies who have a legal obligation to make data available as open data. We look at the privacy implications of publishing open data and, in particular, how organisations can make informed decisions around privacy risks in rel...

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Bibliographic Details
Published in:Computers & security 2019-05, Vol.82, p.270-283
Main Authors: Henriksen-Bulmer, Jane, Faily, Shamal, Jeary, Sheridan
Format: Article
Language:English
Subjects:
Case study
Contextual integrity
Data
Integrity
Meta-model
Open data
Privacy
Privacy risk
Publishing
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Summary:Publishing data in open format is a growing trend, particularly for public bodies who have a legal obligation to make data available as open data. We look at the privacy implications of publishing open data and, in particular, how organisations can make informed decisions around privacy risks in relation to open data publishing before publication occurs. Using a well established theoretical privacy assessment framework, Contextual Integrity, we illustrate how this can be translated into a practical meta-model that can assist public bodies in assessing what privacy implications or risks might be associated with making a particular dataset available as open data. We validate the meta-model by providing a worked example and illustrate the effectiveness of this by reference to a case study application where the meta-model was successfully applied in practice.
ISSN:0167-4048
1872-6208
DOI:10.1016/j.cose.2019.01.003