Enhancing GDPR compliance through data sensitivity and data hiding tools

Autor: Xabier Larrucea, Micha Moffie, Dan Mor
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Journal of Universal Computer Science, Vol 27, Iss 7, Pp 650-666 (2021)
Druh dokumentu: article
ISSN: 0948-6968
DOI: 10.3897/jucs.70369
Popis: Since the emergence of GDPR, several industries and sectors are setting informatics solutions for fulfilling these rules. The Health sector is considered a critical sector within the Industry 4.0 because it manages sensitive data, and National Health Services are responsible for managing patients’ data. European NHS are converging to a connected system allowing the exchange of sensitive information cross different countries. This paper defines and implements a set of tools for extending the reference architectural model industry 4.0 for the healthcare sector, which are used for enhancing GDPR compliance. These tools are dealing with data sensitivity and data hiding tools A case study illustrates the use of these tools and how they are integrated with the reference architectural model.
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