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Confidentialité et traçabilité dans les systèmes publish/ subscribe pour des applications de santé

Abstract : In this thesis, we design security frameworks for publish/subscribe architecture gathering a large number of users. To illustrate the practicity of these frameworks, we are basing ourselves on healthcare scenarios. Our main concern in those scenarios is to improve the security and confidentiality of patient data at the broker level. First, we present a security framework for a AAL environment, with multiple sensors that collect data from patients habits. In this framework we use CP-ABE to improve the payload confidentiality of publications. We use and modify an ABKS-UR scheme to protect the topic attached to publications and subscriptions, at the broker level. Finally, we use ABS scheme to allow publishers to authenticate themselves with their publications. Second, we develop this scenario for a larger number of users, with a group of health care institutions that share the data they collect. Our framework use CP-ABE combined to AES scheme to encrypt the payload of publications. To hide user interests from Zookeeper servers, we also use a PIR protocol. Finally, we construct an Attribute-Based Designated Verifier Signature scheme from identity-based encryption. We also prove the safety of this construction under a classical hypothesis. This scheme improves the previous solutions by protecting publishers.
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Contributor : Abes Star :  Contact
Submitted on : Wednesday, April 13, 2022 - 10:35:10 AM
Last modification on : Thursday, April 14, 2022 - 3:38:11 AM


Version validated by the jury (STAR)


  • HAL Id : tel-03639875, version 1



Mathieu Klingler. Confidentialité et traçabilité dans les systèmes publish/ subscribe pour des applications de santé. Cryptographie et sécurité [cs.CR]. Université de Limoges, 2022. Français. ⟨NNT : 2022LIMO0027⟩. ⟨tel-03639875⟩



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