Reasoning about disclosure in data integration in the presence of source constraints
Reasoning about disclosure in data integration in the presence of source constraints
复制标题
存在源限制的情况下数据集成披露的推理
DOI：
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复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
M. Thomazo
中科院分区：
文献类型：
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作者：
Michael Benedikt;P. Bourhis;Louis Jachiet;M. Thomazo
数据集成系统允许用户通过全局模式查询来访问多个源中的数据，并通过映射与源相关。数据源通常包含敏感信息，因此需要进行分析来验证模式是否满足隐私策略，以一组查询的形式给出，用户不应访问其答案。这样的分析不仅应该考虑攻击者可能拥有的有关映射的知识，还应该考虑他们可能了解的源语义。在本文中，我们表明源约束可以对泄露分析产生巨大影响。我们研究确定给定数据集成系统在存在约束的情况下是否向攻击者泄露源查询的问题，提供源感知泄露分析的下限和上限。
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.
我们什么时候可以使用结果限制数据接口来回答查询？
DOI：
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发表时间：
2017
期刊：
CoRR abs
影响因子：
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作者：
Amarilli A
通讯作者：
Amarilli A