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Analysis of solutions for a blockchain compliance with GDPR
The aim of this paper was to perform an analysis of the state-of-the-art solutions of the permissioned blockchain compliance with the General Data Protection Regulation (GDPR), including the implementation of one of the analyzed methods and the own solution. This paper covers the subject of GDPR and...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440070/ https://www.ncbi.nlm.nih.gov/pubmed/36056166 http://dx.doi.org/10.1038/s41598-022-19341-y |
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author | Godyn, Mateusz Kedziora, Michal Ren, Yingying Liu, Yongxin Song, Houbing Herbert |
author_facet | Godyn, Mateusz Kedziora, Michal Ren, Yingying Liu, Yongxin Song, Houbing Herbert |
author_sort | Godyn, Mateusz |
collection | PubMed |
description | The aim of this paper was to perform an analysis of the state-of-the-art solutions of the permissioned blockchain compliance with the General Data Protection Regulation (GDPR), including the implementation of one of the analyzed methods and the own solution. This paper covers the subject of GDPR and its impact on already existing blockchain databases to determine the domain of the problem, including the necessity to introduce mutability in the data structure to comply with the ”right to be forgotten”. The performed analysis made it possible to discuss current research in technical terms as well as in the regulation itself. In the experimental part, attempts were made to research and implement the Reference-based Tree Structure (RBTS), including the performance tests. The proposed solution is efficient and easily reproducible. The deletion of unwanted content is quick and requires consent only from the owner of personal data; therefore, eliminating the dependency on the other blockchain network participants. |
format | Online Article Text |
id | pubmed-9440070 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-94400702022-09-04 Analysis of solutions for a blockchain compliance with GDPR Godyn, Mateusz Kedziora, Michal Ren, Yingying Liu, Yongxin Song, Houbing Herbert Sci Rep Article The aim of this paper was to perform an analysis of the state-of-the-art solutions of the permissioned blockchain compliance with the General Data Protection Regulation (GDPR), including the implementation of one of the analyzed methods and the own solution. This paper covers the subject of GDPR and its impact on already existing blockchain databases to determine the domain of the problem, including the necessity to introduce mutability in the data structure to comply with the ”right to be forgotten”. The performed analysis made it possible to discuss current research in technical terms as well as in the regulation itself. In the experimental part, attempts were made to research and implement the Reference-based Tree Structure (RBTS), including the performance tests. The proposed solution is efficient and easily reproducible. The deletion of unwanted content is quick and requires consent only from the owner of personal data; therefore, eliminating the dependency on the other blockchain network participants. Nature Publishing Group UK 2022-09-02 /pmc/articles/PMC9440070/ /pubmed/36056166 http://dx.doi.org/10.1038/s41598-022-19341-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Godyn, Mateusz Kedziora, Michal Ren, Yingying Liu, Yongxin Song, Houbing Herbert Analysis of solutions for a blockchain compliance with GDPR |
title | Analysis of solutions for a blockchain compliance with GDPR |
title_full | Analysis of solutions for a blockchain compliance with GDPR |
title_fullStr | Analysis of solutions for a blockchain compliance with GDPR |
title_full_unstemmed | Analysis of solutions for a blockchain compliance with GDPR |
title_short | Analysis of solutions for a blockchain compliance with GDPR |
title_sort | analysis of solutions for a blockchain compliance with gdpr |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440070/ https://www.ncbi.nlm.nih.gov/pubmed/36056166 http://dx.doi.org/10.1038/s41598-022-19341-y |
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