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Trustworthy Pre-processing of Sensor Data in Data On-Chaining Workflows for Blockchain-Based IoT Applications

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Service-Oriented Computing (ICSOC 2021)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 13121))

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Abstract

Prior to provisioning sensor data to smart contracts, a pre-processing of the data on intermediate off-chain nodes is often necessary. When doing so, originally constructed cryptographic signatures cannot be verified on-chain anymore. This exposes an opportunity for undetected manipulation and presents a problem for applications in the Internet of Things where trustworthy sensor data is required on-chain.

In this paper, we propose trustworthy pre-processing as enabler for end-to-end sensor data integrity in data on-chaining workflows. We define requirements for trustworthy pre-processing, present a model and common workflow for data on-chaining, select off-chain computation utilizing Zero-knowledge Proofs (ZKPs) and Trusted Execution Environments (TEEs) as promising solution approaches, and discuss both our proof-of-concept implementations and initial experimental, comparative evaluation results. The importance of trustworthy pre-processing and principle solution approaches are presented, addressing the major problem of end-to-end sensor data integrity in blockchain-based IoT applications.

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Notes

  1. 1.

    https://web.mit.edu/6.005/www/fa15/classes/25-map-filter-reduce/.

  2. 2.

    https://github.com/tdrerup/elliptic-curve-solidity.

  3. 3.

    https://github.com/Zokrates/ZoKrates.

  4. 4.

    https://blogpv.net/.

  5. 5.

    https://chain.link/.

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Authors and Affiliations

  1. Information Systems Engineering (ISE), Berlin, TU, Germany

    Jonathan Heiss, Anselm Busse & Stefan Tai

Authors
  1. Jonathan Heiss
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  2. Anselm Busse
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  3. Stefan Tai
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Corresponding author

Correspondence to Jonathan Heiss .

Editor information

Editors and Affiliations

  1. Zayed University, Dubai, United Arab Emirates

    Hakim Hacid

  2. Technical University of Berlin, Berlin, Germany

    Odej Kao

  3. Informatica Automatica Gestio, Sapienza University of Rome, Rome, Italy

    Massimo Mecella

  4. Departement d'Informatique, University of Quebec, Montreal, QC, Canada

    Naouel Moha

  5. UNSW Sydney, Sydney, NSW, Australia

    Hye-young Paik

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Heiss, J., Busse, A., Tai, S. (2021). Trustworthy Pre-processing of Sensor Data in Data On-Chaining Workflows for Blockchain-Based IoT Applications. In: Hacid, H., Kao, O., Mecella, M., Moha, N., Paik, Hy. (eds) Service-Oriented Computing. ICSOC 2021. Lecture Notes in Computer Science(), vol 13121. Springer, Cham. https://doi.org/10.1007/978-3-030-91431-8_9

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  • DOI: https://doi.org/10.1007/978-3-030-91431-8_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-91430-1

  • Online ISBN: 978-3-030-91431-8

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