{"id":64,"date":"2019-06-20T11:33:47","date_gmt":"2019-06-20T09:33:47","guid":{"rendered":"https:\/\/project.inria.fr\/privgen\/?page_id=64"},"modified":"2019-06-20T11:35:31","modified_gmt":"2019-06-20T09:35:31","slug":"presentation","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/privgen\/","title":{"rendered":"Presentation"},"content":{"rendered":"

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PrivGen : Privacy-preserving sharing and processing of genetic data<\/strong><\/u><\/h3>\n

Cloud computing has emerged as a successful paradigm allowing individuals and companies to flexibly store and process large amounts of data. However, cloud applications are subject to new security risks and risks to the privacy of data concerning the disclosure, ownership, and integrity of data. These problems are particularly important in the context of the sharing and processing of genetic data that require a multitude of security and privacy properties to be satisfied.<\/p>\n

The PrivGen project aims at providing new techniques for making secure and protect the privacy of shared genetic data that is processed using distributed applications, but not only. To do so, PrivGen proposes to develop:<\/p>\n

(i) new means for the combination of watermarking, encryption and fragmentation techniques to ensure the security and protection of privacy of shared genetic data,<\/p>\n

(ii) a composition theory for security mechanisms that allows the enforcement of security and privacy properties in a constructive manner on the programming level<\/p>\n

(iii) new service-based techniques for the distributed processing of shared genetic data.<\/p>\n

Partners <\/strong><\/u><\/h4>\n

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Research team <\/u><\/strong><\/h3>\n