Abstract
Data accuracy, reliability, and integrity are of utmost importance in multiple scenarios, such as medical test, performance testing, etc.; data certification plays a critical role in providing trust, as it ensures that the data is guaranteed by trusted entities. However, traditional private and centralised approaches make it challenging to guarantee the veracity of the data or establish liability in cases of deliberate manipulation or human error.
This contribution introduces CertifIoT, a Distributed Ledger Technology (DLT)-based solution for certifying data gathered from data streams produced by Internet of Things (IoT) devices. This approach adds transparency to the process and provides a mechanism for clarifying data provenance and recording methods. The foundation of our solution is the Phonendo Framework [1], which has been extended with additional features required for data certification. Furthermore, we propose an adaptable and extensible data model, to make certified data interoperable, and a protocol for trust endorsement, which aims at increasing the trust of certified data.
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Notes
- 1.
- 2.
It is necessary to highlight that the term “Verifier” in Phonendo’s architecture refers to a service that verifies the received data before signing it. Therefore, it is not the same as a verifier in the certification process. For the sake of clarity, every reference to verifier in the text refers to the latter, a relying entity.
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Notice that some parts of Phonendo’s data flow have been omitted to focus on the proposal.
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- 6.
For data models stored in a web server, “schemaID” includes the web prefix, the schema URL and a hash of the schema, in order to guarantee the integrity.
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Moya, F., Quesada, F.J., Martínez, L., Estrella, F.J. (2023). CertifIoT: An IoT and DLT-Based Solution for Enhancing Trust and Transparency in Data Certification. In: Bravo, J., Urzáiz, G. (eds) Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023). UCAmI 2023. Lecture Notes in Networks and Systems, vol 841. Springer, Cham. https://doi.org/10.1007/978-3-031-48590-9_12
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