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A Blockchain-Driven Approach to Fulfill the GDPR Recording Requirements

In: Blockchain and Distributed Ledger Technology Use Cases

Author

Listed:
  • Wolfgang Radinger-Peer

    (University of Applied Sciences, FH Campus Wien)

  • Bernhard Kolm

    (University of Applied Sciences, FH Campus Wien)

Abstract

On 25th May 2018, the European General Data Protection Regulation (GDPR) came into effect and required transformation into national legislation in all member states of the European Union. GDPR stipulates that businesses may only process personal data on documented instructions. Furthermore, article 33 paragraph 5 states that any personal data breach and its effects have to be documented. As a conclusion, any processing (article 4 paragraph 2) has to be recorded in an appropriate manner. To this end, Blockchain technology presents a suitable approach. Blockchain technology has clear advantages in comparison to classical recording techniques, which can be manipulated and deleted more easily. The use case described in this chapter is the application of Blockchain technology to fulfill the GDPR documentation requirements for a Log Management System (LMS). The purpose is to monitor sensitive data (files or folders) that can be defined via a configuration. To facilitate recording in an appropriate manner, a private and distributed architecture of a Blockchain with a two-level hierarchy is described. In the data block the SuperBlockchain (higher level) contains a SubBlockchain (lower level) which stores the log file information. The SubBlockchain is valid for a specific time span e.g. for one day, which speeds up any search in the log files in the case of an incident.

Suggested Citation

  • Wolfgang Radinger-Peer & Bernhard Kolm, 2020. "A Blockchain-Driven Approach to Fulfill the GDPR Recording Requirements," Progress in IS, in: Horst Treiblmaier & Trevor Clohessy (ed.), Blockchain and Distributed Ledger Technology Use Cases, pages 133-148, Springer.
    • Handle: RePEc:spr:prochp:978-3-030-44337-5_7
    DOI: 10.1007/978-3-030-44337-5_7
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    Cited by:

    1. Lamprini Zarpala & Fran Casino, 2021. "A blockchain-based forensic model for financial crime investigation: the embezzlement scenario," Digital Finance, Springer, vol. 3(3), pages 301-332, December.

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