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Towards end-to-end privacy for publish/subscribe architectures in the Internet of Things

Abstract : The Internet of Things paradigm lacks end-to-end privacy solutions to consider its full adoption in real life scenarios in the near future. The recent enactment of the EU General Data Protection Regulation (GDPR) indeed emphasises the need for stronger security and privacy measures for personal data processing and free movement, including consent management and accountability by the data controller and processor. In this paper, we suggest an architecture to enforce end-to-end data usage control in Distributed Event-Based Systems (DEBS), from data producers to consumer services, taking into account some of the GDPR requirements concerning consent management and data processing transparency. Our architecture proposal is based on UCON ABC usage control models, which we overlap with a distributed hash table overlay for scalability and fault-tolerance concerns, and across and within systems data usage control. Our proposal highlights the benefits of combining both DEBS and end-user usage control architectures. To complete our approach, we quickly survey existing encryption models that ensure data confidentiality in topic-based Publish/Subscribe systems and highlight the remaining obstacles to transpose them to content-based DEBS with an overlay of brokers
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https://hal.archives-ouvertes.fr/hal-01940866
Contributor : Médiathèque Télécom Sudparis & Institut Mines-Télécom Business School <>
Submitted on : Friday, November 30, 2018 - 5:59:18 PM
Last modification on : Thursday, December 3, 2020 - 3:38:15 PM
Long-term archiving on: : Friday, March 1, 2019 - 3:59:36 PM

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Stevan Coroller, Sophie Chabridon, Maryline Laurent, Denis Conan, Jean Leneutre. Towards end-to-end privacy for publish/subscribe architectures in the Internet of Things. M4IoT 2018: 5th Workshop on Middleware and Applications for the Internet of Things at the 2018 ACM/IFIP International Middleware Conference, Dec 2018, Rennes, France. pp.35 - 40, ⟨10.1145/3286719.3286727⟩. ⟨hal-01940866⟩

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