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Enhancing User Privacy in IoT: Integration of GDPR and Blockchain

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1156))

Abstract

The development of Internet of Things (IoT) industries has raised significant questions in terms of accountability of smart devices and user privacy. The advent of European General Data Protection Regulation (GDPR) in such industries enabled users to control their collected data and be informed about the collecting devices. This paper by using blockchain technology provides the audit trail of IoT devices under GDPR rules. It translates a set of such rules into smart contracts to protect personal data in a transparent and automatic way. By proposing an abstract model and designing some business processes, the paper shows how the integration of GDPR and blockchain can appear in the design patterns of IoT devices to achieve a greater transparency of privacy.

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Notes

  1. 1.

    If device is a lightweight node, it is indirectly registered in the blockchain via the full node communicating with.

  2. 2.

    For each times of execution, an operation is randomly selected among access, store, profiling, and transfer.

  3. 3.

    The verify function, implemented in the verification contract, checks whether operations of actors on personal data conform to user consent or not.

  4. 4.

    The assumptions of the experiment are the same with previous experiment, namely the investigation of cost by changing the number of actors.

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Correspondence to Masoud Barati or Omer Rana .

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Barati, M., Rana, O. (2020). Enhancing User Privacy in IoT: Integration of GDPR and Blockchain. In: Zheng, Z., Dai, HN., Tang, M., Chen, X. (eds) Blockchain and Trustworthy Systems. BlockSys 2019. Communications in Computer and Information Science, vol 1156. Springer, Singapore. https://doi.org/10.1007/978-981-15-2777-7_26

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  • DOI: https://doi.org/10.1007/978-981-15-2777-7_26

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-2776-0

  • Online ISBN: 978-981-15-2777-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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