Goal-modeling privacy-by-design patterns for supporting GDPR compliance

Conference paper

Al-Obeidallah, M., Piras, L., Iloanugo, O., Mouratidis, H., Alkubaisy, D and Dellagiacoma, D. 2023. Goal-modeling privacy-by-design patterns for supporting GDPR compliance. Fill, H.-G., Domínguez-Mayo, F.J., van Sinderen, M. and Maciaszek, L. (ed.) International Conference on Software Technologies (ICSOFT). Rome, Italy 10 - 12 Jul 2023 SCITEPRESS - Science and Technology Publications. pp. 361-368 https://doi.org/10.5220/0012080700003538
TypeConference paper
TitleGoal-modeling privacy-by-design patterns for supporting GDPR compliance
AuthorsAl-Obeidallah, M., Piras, L., Iloanugo, O., Mouratidis, H., Alkubaisy, D and Dellagiacoma, D.
Abstract

The introduction of the European General Data Protection Regulation (GDPR) has imposed obligations on organisations collecting data in the EU. This has been beneficial to citizens due to rights reinforcement achieved as data subjects. However, obligations heavily affected organisations, and their privacy requirements analysts, having issues with interpreting and implementing GDPR principles. This paper proposes visual GDPR Patterns supporting analysts through Privacy-by- Design (PbD) and GDPR compliance analysis. In order to achieve that, we extended a requirements modeling tool, SecTro, which is used to assist analysts in creating visual requirements models. Specifically, we extended SecTro with novel visual GDPR patterns representing GDPR principles. We evaluated the patterns in a healthcare case study. The evaluation results suggest that the GDPR patterns can help analysts in PbD modeling analysis, by representing GDPR principles and considering relevant ready-to-use alternatives, towards achieving GDPR compliance.

KeywordsRequirements Modeling; Requirements Engineering; Privacy-by-Design; Goal Modeling; GDPR; Design Patterns
Sustainable Development Goals9 Industry, innovation and infrastructure
Middlesex University ThemeCreativity, Culture & Enterprise
Research GroupSoftware Engineering, Theory & Algorithms (SETA)
ConferenceInternational Conference on Software Technologies (ICSOFT)
Page range361-368
Proceedings TitleProceedings of the 18th International Conference on Software Technologies (ICSOFT 2023) - Volume 1
EditorsFill, H.-G., Domínguez-Mayo, F.J., van Sinderen, M. and Maciaszek, L.
ISSN2184-2833
ISBN9789897586651
PublisherSCITEPRESS - Science and Technology Publications
Publication dates
Print10 Jul 2023
Publication process dates
Accepted21 Apr 2023
Deposited18 Jul 2023
Output statusPublished
Publisher's version
License
File Access Level
Open
Copyright Statement

Al-Obeidallah, M., Piras, L., Iloanugo, O., Mouratidis, H., Alkubaisy, D. and Dellagiacoma, D.
Goal-Modeling Privacy-by-Design Patterns for Supporting GDPR Compliance. DOI: 10.5220/0012080700003538
In Proceedings of the 18th International Conference on Software Technologies (ICSOFT 2023), pages 361-368
ISBN: 978-989-758-665-1; ISSN: 2184-2833
Copyright © 2023 by SCITEPRESS – Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)

Digital Object Identifier (DOI)https://doi.org/10.5220/0012080700003538
Web address (URL) of conference proceedingshttps://doi.org/10.5220/0000168200003538
LanguageEnglish
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