Browsing by Subject "Personal Data"
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- Conference PaperOpen AccessEngineering sustainable blockchain applications(Proceedings of 1st ERCIM Blockchain Workshop 2018, 2018) Osterland, Thomas; Rose, ThomasBlockchain technology has attracted attention as emerging paradigm for business collaboration. Blockchain’s consensus mechanisms allow partners to cooperate in a business network. However, many applications reported in literature present merely a proof of concept from an engineering perspective. An industrialization of blockchain requires an engineering framework, which assures the sustainability of the application and in particular its network partnerships, i.e. each participant has to act as an active peer in the network rather than being a mere consumer with a wallet for participation in the blockchain. This paper presents the skeleton of such an engineering framework starting with an ideation of partnerships and collaboration patterns to clarify the incentives for participation via business model design for sustainable network operations towards the selection of an implementation platform for the business processes re-engineered. Moreover, an initial version of an interactive tool for community-oriented capturing of know-how about characteristics of blockchain platforms is presented.
- Conference PaperOpen AccessPrivacy by BlockChain Design: A BlockChain-enabled GDPR-compliant Approach for Handling Personal Data(Proceedings of 1st ERCIM Blockchain Workshop 2018, 2018) Wirth, Christian; Kolain, MichaelThis 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.