Xabier Larrucea‡, Micha Moffie§, Dan Mor§Corresponding author: Xabier Larrucea ( xlarrucea@yahoo.com ) © Xabier Larrucea, Micha Moffie, Dan Mor. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY-ND 4.0). This license allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use. Citation:
Larrucea X, Moffie M, Mor D (2021) Enhancing GDPR compliance through data sensitivity and data hiding tools. JUCS - Journal of Universal Computer Science 27(7): 650-666. https://doi.org/10.3897/jucs.70369 |  |
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.