A secure and extensible blockchain-based data provenance framework for the Internet of things

Publikationstyp
Journal Article
Date Issued
2020-06-16
Sprache
English
Author(s)
Sigwart, Marten  
Borkowski, Michael  
Peise, Marco  
Schulte, Stefan  
Tai, Stefan  
TORE-DOI
10.15480/882.4229
TORE-URI
http://hdl.handle.net/11420/11887
Journal
Personal and ubiquitous computing  
Citation
Personal and Ubiquitous Computing: (2020) (Artikel wurde vom Verl. keinem Jg. und H. zugeordnet)
Publisher DOI
10.1007/s00779-020-01417-z
Scopus ID
2-s2.0-85086591225
Publisher
Springer
As data collected and provided by Internet of Things (IoT) devices power an ever-growing number of applications and services, it is crucial that this data can be trusted. Data provenance solutions combined with blockchain technology are one way to make data more trustworthy by providing tamper-proof information about the origin and history of data records. However, current blockchain-based solutions for data provenance fail to take the heterogeneous nature of IoT applications and their data into account. In this work, we identify functional and non-functional requirements for a secure and extensible IoT data provenance framework, and conceptualise the framework as a layered architecture. Evaluating the framework using a proof-of-concept implementation based on Ethereum smart contracts, we conclude that our framework can be used to realise data provenance concepts for a wide range of IoT use cases. While blockchain technology generally poses constraints on scalability and privacy, we discuss multiple solutions aiming to overcome these issues.
Subjects
Blockchains
Data provenance
Internet of things
IoT
Smart contracts
DDC Class
004: Informatik
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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