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dc.contributor.authorWirth, Christian-
dc.contributor.authorKolain, Michael-
dc.description.abstractThis paper takes an initial step forward in bringing to life the certification mechanisms according to Art. 42 of the General Data Protection Regulation (GDPR). These newly established methods of legal specification act not only as a central vehicle for overcoming widely articulated and discussed legal challenges, but also as a sandbox for the much needed close collaboration between computer sciences and legal studies. In order to illustrate, for example, what data protection seals could look like in the future, the authors propose a methodology for "translating" legal requirements into technical guidelines: architectural blueprints designed using legal requirements. The purpose of these blueprints is to show developers how their solutions might comply with the principle of Privacy by Design (Art. 25 GDPR). To demonstrate this methodology, the authors propose an architectural blueprint that embodies the legal concept of the data subject’s consent (Art. 6 sec. 1 lit. a GDPR) and elevates best practice to a high standard of Privacy by Design. Finally, the authors highlight further legal problems concerning blockchain technology under the GDPR that will have to be addressed in order to achieve a comprehensive certification mechanism for Privacy by Blockchain Design in the future.en
dc.publisherEuropean Society for Socially Embedded Technologies (EUSSET)-
dc.relation.ispartofProceedings of 1st ERCIM Blockchain Workshop 2018-
dc.relation.ispartofseriesReports of the European Society for Socially Embedded Technologies: vol. 2, no. 6-
dc.subjectPrivacy by Design-
dc.subjectPersonal Data-
dc.subjectSmart Contract-
dc.subjectData Protection-
dc.titlePrivacy by BlockChain Design: A BlockChain-enabled GDPR-compliant Approach for Handling Personal Dataen
dc.typeText/Conference Paper-
mci.conference.date8 - 9 May 2018-
mci.conference.locationAmsterdam, Netherlands-
Appears in Collections:ERCIM-Blockchain 2018: Blockchain Engineering: Challenges and Opportunities for Computer Science Research

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