Reasoning about Disclosure in Data Integration in the Presence of Source Constraints

Author:

Benedikt Michael1,Bourhis Pierre234,Jachiet Louis234,Thomazo Michaël56789

Affiliation:

1. University of Oxford

2. CNRS CRIStAL

3. Université Lille

4. Inria Lille

5. Inria

6. DI ENS

7. ENS

8. CNRS

9. PSL University

Abstract

Data integration systems allow users to access data sitting in multiple sources by means of queries over a global schema, related to the sources via mappings. Datasources often contain sensitive information, and thus an analysis is needed to verify that a schema satisfies a privacy policy, given as a set of queries whose answers should not be accessible to users. Such an analysis should take into account not only knowledge that an attacker may have about the mappings, but also what they may know about the semantics of the sources.In this paper, we show that source constraints can have a dramatic impact on disclosure analysis. We study the problem of determining whether a given data integration system discloses a source query to an attacker in the presence of constraints, providing both lower and upper bounds on source-aware disclosure analysis.

Publisher

International Joint Conferences on Artificial Intelligence Organization

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Controlled Query Evaluation in Ontology-Based Data Access;Lecture Notes in Computer Science;2020

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