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Access Control Enforcement for Selective Disclosure of Linked Data

Tarek Sayah 1 Emmanuel Coquery 1 Romuald Thion 1 Mohand-Saïd Hacid 1 
1 BD - Base de Données
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : The Semantic Web technologies enable Web-scaled data linking between large RDF repositories. However, it happens that organizations cannot publish their whole datasets but only some subsets of them, due to ethical, legal or confidentiality considerations. Different user profiles may have access to different authorized subsets. In this case, selective disclosure appears as a promising incentive for linked data. In this paper, we show that modular, fine-grained and efficient selective disclosure can be achieved on top of existing RDF stores. We use a data-annotation approach to enforce access control policies. Our results are grounded on previously established formal results proposed in [3]. We present an implementation of our ideas and we show that our solution for selective disclosure scales, is independent of the user query language, and incurs reasonable overhead at runtime.
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Submitted on : Monday, September 26, 2016 - 10:40:05 AM
Last modification on : Friday, September 30, 2022 - 11:34:16 AM
Long-term archiving on: : Tuesday, December 27, 2016 - 12:50:02 PM


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Tarek Sayah, Emmanuel Coquery, Romuald Thion, Mohand-Saïd Hacid. Access Control Enforcement for Selective Disclosure of Linked Data. 12th International Workshop on Security and Trust Management, Sep 2016, Heraklion, Greece. pp.47-63, ⟨10.1007/978-3-319-46598-24⟩. ⟨hal-01371530⟩



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