Source Information Disclosure in Ontology-Based Data Integration
Ontology-based data integration systems allow users to effectively access data sitting in multiple sources by means of queries over a global schema described by an ontology. In practice, datasources often contain sensitive information that the data owners want to keep inaccessible to users. In this...
| Main Authors: | , , |
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| Format: | Conference item |
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Association for the Advancement of Artificial Intelligence
2017
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| _version_ | 1797072992939802624 |
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| author | Benedikt, M Cuenca Grau, B Kostylev, E |
| author_facet | Benedikt, M Cuenca Grau, B Kostylev, E |
| author_sort | Benedikt, M |
| collection | OXFORD |
| description | Ontology-based data integration systems allow users to effectively access data sitting in multiple sources by means of queries over a global schema described by an ontology. In practice, datasources often contain sensitive information that the data owners want to keep inaccessible to users. In this paper, we formalize and study the problem of determining whether a given data integration system discloses a source query to an attacker. We consider disclosure on a particular dataset, and also whether a schema admits a dataset on which disclosure occurs. We provide lower and upper bounds on disclosure analysis, in the process introducing a number of techniques for analyzing logical privacy issues in ontology-based data integration. |
| first_indexed | 2024-03-06T23:15:41Z |
| format | Conference item |
| id | oxford-uuid:670b5f6b-ed9b-4828-85e4-95f1d888851c |
| institution | University of Oxford |
| last_indexed | 2024-03-06T23:15:41Z |
| publishDate | 2017 |
| publisher | Association for the Advancement of Artificial Intelligence |
| record_format | dspace |
| spelling | oxford-uuid:670b5f6b-ed9b-4828-85e4-95f1d888851c2022-03-26T18:35:48ZSource Information Disclosure in Ontology-Based Data IntegrationConference itemhttp://purl.org/coar/resource_type/c_5794uuid:670b5f6b-ed9b-4828-85e4-95f1d888851cSymplectic Elements at OxfordAssociation for the Advancement of Artificial Intelligence2017Benedikt, MCuenca Grau, BKostylev, EOntology-based data integration systems allow users to effectively access data sitting in multiple sources by means of queries over a global schema described by an ontology. In practice, datasources often contain sensitive information that the data owners want to keep inaccessible to users. In this paper, we formalize and study the problem of determining whether a given data integration system discloses a source query to an attacker. We consider disclosure on a particular dataset, and also whether a schema admits a dataset on which disclosure occurs. We provide lower and upper bounds on disclosure analysis, in the process introducing a number of techniques for analyzing logical privacy issues in ontology-based data integration. |
| spellingShingle | Benedikt, M Cuenca Grau, B Kostylev, E Source Information Disclosure in Ontology-Based Data Integration |
| title | Source Information Disclosure in Ontology-Based Data Integration |
| title_full | Source Information Disclosure in Ontology-Based Data Integration |
| title_fullStr | Source Information Disclosure in Ontology-Based Data Integration |
| title_full_unstemmed | Source Information Disclosure in Ontology-Based Data Integration |
| title_short | Source Information Disclosure in Ontology-Based Data Integration |
| title_sort | source information disclosure in ontology based data integration |
| work_keys_str_mv | AT benediktm sourceinformationdisclosureinontologybaseddataintegration AT cuencagraub sourceinformationdisclosureinontologybaseddataintegration AT kostyleve sourceinformationdisclosureinontologybaseddataintegration |