Talks and Poster Presentations (with Proceedings-Entry):
M. Sigwart, M. Borkowski, M. Peise, S. Schulte, S. Tai:
"Blockchain-based Data Provenance for the Internet of Things";
Talk: 9th International Conference on the Internet of Things (IoT 2019),
Bilbao, Spain;
2019-10-22
- 2019-10-25; in: "Proceedings of the 9th International Conference on the Internet of Things (IoT 2019)",
ACM,
(2019),
ISBN: 978-1-4503-7207-7;
Paper ID 15,
8 pages.
English abstract:
As more and more applications and services depend on data collected and provided by Internet of Things (IoT) devices, it is of importance that such data can be trusted. Data provenance solutions together with blockchain technology are one way to make data more trustworthy. However, current solutions do not address the heterogeneous nature of IoT applications and their data. In this work, we identify functional and non-functional requirements for a generic IoT data provenance framework, and conceptualise the framework as a layered architecture. Using a proof-of-concept implementation based on Ethereum smart contracts, data provenance can be realised for a wide range of IoT use cases. Benefits of a generic framework include simplified adoption and a more rapid implementation of data provenance for the IoT.
Keywords:
Internet of Things, IoT, data provenance, blockchain
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1145/3365871.3365886
Related Projects:
Project Head Stefan Schulte:
TAST_2
Created from the Publication Database of the Vienna University of Technology.