Toward architectural and protocol-level foundation for end-to-end trustworthiness in Cloud/Fog computing

Abstract : With Cloud/Fog Computing being a paradigm combination of IoT context and Edge Computing extended with Cloud/Fog, business process in it involves dataflows among multilayers and multi-nodes, possibly provided by multi-organizations. Achieving end-to-end trustworthiness over the whole dataflow in such a Cloud/Fog Computing context is a challenging issue, nonetheless a necessary pre-condition for a successful business process on intra-/inter- organizational level. This paper investigates technical conundrums related to this target and proposes a policy-based approach for trustworthiness governance. An architectural layout is proposed with according modules, by carrying out two methodologies. One resides in tracing data derivation and maintaining security-level over the whole dataflow, handling data aggregation with several protocols. The other is to express data owner trustworthiness requirements with an enhanced attribute-based access control policy model and to evaluate data accessing nodes’ trustworthiness-related properties. Experiments show that processing time per attribute pair drops as the scales of policies increase, suggesting good scaling property of the system.
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Article dans une revue
IEEE Transactions on Big Data, 2017, 〈10.1109/TBDATA.2017.2705418〉
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https://hal.archives-ouvertes.fr/hal-01534815
Contributeur : Frédérique Biennier <>
Soumis le : jeudi 8 juin 2017 - 11:34:41
Dernière modification le : vendredi 9 juin 2017 - 01:08:05

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Ziyi Su, Frédérique Biennier, Zhihan Lv, Yong Peng, Houbing Song, et al.. Toward architectural and protocol-level foundation for end-to-end trustworthiness in Cloud/Fog computing. IEEE Transactions on Big Data, 2017, 〈10.1109/TBDATA.2017.2705418〉. 〈hal-01534815〉

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