JUCS - Journal of Universal Computer Science 27(7): 650-666, doi: 10.3897/jucs.70369
Enhancing GDPR compliance through data sensitivity and data hiding tools
expand article infoXabier Larrucea, Micha Moffie§, Dan Mor§
‡ TECNALIA, Basque Research and Technology Alliance (BRTA), Derio, Bizkaia, Spain§ IBM, Haifa, Israel
Open Access

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.

Health information management, industrial communication, data security, privacy, data processing