Privacy risk assessment in context: A meta-model based on contextual integrity
Authors: Henriksen-Bulmer, J., Faily, S., Jeary, S.
Journal: Computers and Security
Publication Date: 01/05/2019
Volume: 82
Pages: 270-283
ISSN: 0167-4048
DOI: 10.1016/j.cose.2019.01.003
Abstract: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.
https://eprints.bournemouth.ac.uk/31627/
Source: Scopus
Privacy risk assessment in context: A meta-model based on contextual integrity
Authors: Henriksen-Bulmer, J., Faily, S., Jeary, S.
Journal: COMPUTERS & SECURITY
Publication Date: 05/2019
Volume: 82
Pages: 270-283
eISSN: 1872-6208
ISSN: 0167-4048
DOI: 10.1016/j.cose.2019.01.003
https://eprints.bournemouth.ac.uk/31627/
Source: Web of Science
Privacy Risk Assessment in Context: A Meta-Model based on Contextual Integrity
Authors: Henriksen-Bulmer, J., Faily, S., Jeary, S.
Journal: Computers & Security
Publication Date: 11/01/2019
Publisher: Elsevier
ISSN: 0167-4048
DOI: 10.1016/j.cose.2019.01.003
Abstract: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 metamodel 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 metamodel by providing a worked example and illustrate the effectiveness of this by reference to a case study application where the metamodel was successfully applied in practice.
https://eprints.bournemouth.ac.uk/31627/
Source: Manual
Privacy risk assessment in context: A meta-model based on contextual integrity.
Authors: Henriksen-Bulmer, J., Faily, S., Jeary, S.
Journal: Comput. Secur.
Publication Date: 2019
Volume: 82
Pages: 270-283
https://eprints.bournemouth.ac.uk/31627/
Source: DBLP