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Privacy in data service composition

Barhamgi, Mahmoud, Perera, Charith, Yu, Chia-Mu, Benslimane, Djamal, Camacho, David and Bonnet, Christine 2019. Privacy in data service composition. IEEE Transactions on Services Computing 13 (4) , pp. 639-652. 10.1109/TSC.2019.2963309

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In modern information systems different information features, about the same individual, are often collected and managed by autonomous data collection services that may have different privacy policies. Answering many end-users’ legitimate queries requires the integration of data from multiple such services. However, data integration is often hindered by the lack of a trusted entity, often called a mediator , with which the services can share their data and delegate the enforcement of their privacy policies. In this article, we propose a flexible privacy-preserving data integration approach for answering data integration queries without the need for a trusted mediator. In our approach, services are allowed to enforce their privacy policies locally. The mediator is considered to be untrusted, and only has access to encrypted information to allow it to link data subjects across the different services. Services, by virtue of a new privacy requirement, dubbed

Item Type: Article
Date Type: Published Online
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA76 Computer software
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
ISSN: 1939-1374
Date of Acceptance: 21 December 2019
Last Modified: 12 Aug 2020 12:00

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