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Access control based on entity matching for secure data sharing

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Abstract

Useful information for analysis and learning purposes is often located in heterogeneous and autonomous sources. We consider the problem where data owners want to share data that has access control policies associated with it. Data sources share information relying on entity matching rules (Conditions for which two records from different sources are considered as a match, i.e., represent the same real-world object) between their contents. In this paper, we propose an entity matching-oriented and policy-oriented methodology to provide a secure data sharing framework. We present an algorithm for translating a query submitted against one schema into an augmented query for the other schema to capture concerned tuples, based on entity matching rules. Then, we provide a methodology to answer queries while preserving local access control policies and also avoiding any inference leakage that could result from entity matching. Furthermore, we adduce details on our implementation and describe the key findings of the experiments.

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Notes

  1. Semantically equivalent, they denote the same real-world object.

  2. See: https://perso.liris.cnrs.fr/jagoun/SOCA2021_appx.pdf.

  3. https://github.com/eulerto/pg_similarity.

  4. https://recordlinkage.readthedocs.io/en/latest/about.html.

  5. https://www.cs.utexas.edu/users/ml/riddle/data/restaurant.tar.gz.

  6. These keywords are provided by the users to serve as a kind of synonyms table.

  7. The Hyperion prototype implements the main results/algorithms presented in [21, 22].

  8. https://h2020qualitop.liris.cnrs.fr/wordpress/index.php/project/.

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Authors and Affiliations

  1. Université de Lyon, Université de Lyon 1, CNRS UMR 5205, Lyon, France

    Juba Agoun & Mohand-Saïd Hacid

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  1. Juba Agoun
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  2. Mohand-Saïd Hacid
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Correspondence to Juba Agoun.

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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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Agoun, J., Hacid, MS. Access control based on entity matching for secure data sharing. SOCA 16, 31–44 (2022). https://doi.org/10.1007/s11761-021-00331-3

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