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

Authors: Henriksen-Bulmer, J., Faily, S. and Jeary, S.

Journal: Computers and Security

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. and Jeary, S.

Journal: COMPUTERS & SECURITY

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 (Lite)

Privacy Risk Assessment in Context: A Meta-Model based on Contextual Integrity

Authors: Henriksen-Bulmer, J., Faily, S. and Jeary, S.

Journal: Computers & Security

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. and Jeary, S.

Journal: Comput. Secur.

Volume: 82

Pages: 270-283

https://eprints.bournemouth.ac.uk/31627/

Source: DBLP

Privacy Risk Assessment in Context: A Meta-Model based on Contextual Integrity

Authors: Henriksen-Bulmer, J., Faily, S. and Jeary, S.

Journal: Computers & Security

Volume: 82

Issue: May

Pages: 270-283

ISSN: 0167-4048

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: BURO EPrints