Abstract
In the context of data analysis and data integration, very often information from different and autonomous sources are shared. Sources use their own schema and their own access control policies. We consider the case where data sources decide to share information by specifying entity matching rules between their contents. A query to a given data source is rewritten to produce queries to other data sources that share information with that data source. This entity-matching oriented and policy-oriented rewriting preserves local data source policies. In this paper, we describe our methodology for data sharing between sources by ensuring the satisfaction of local access control policies.
This research is performed within the scope of the DataCert (Coq deep specification of privacy aware data integration) project that is funded by ANR (Agence Nationale de la Recherche) grant ANR-15-CE39-0009 - http://datacert.lri.fr/.
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Notes
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Semantically equivalent, they denote the same real-world object.
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Given a query q over R and a set of access control rules \(\varPi _R\), a rule \(r \in \varPi _R\) is relevant to a query q iff \(Sel(r) \subseteq Sel(q)\).
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Agoun, J., Hacid, MS. (2019). Data Sharing in Presence of Access Control Policies. In: Panetto, H., Debruyne, C., Hepp, M., Lewis, D., Ardagna, C., Meersman, R. (eds) On the Move to Meaningful Internet Systems: OTM 2019 Conferences. OTM 2019. Lecture Notes in Computer Science(), vol 11877. Springer, Cham. https://doi.org/10.1007/978-3-030-33246-4_19
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DOI: https://doi.org/10.1007/978-3-030-33246-4_19
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