DEFeND DSM: a data scope management service for model-based privacy by design GDPR compliance

Conference paper


Piras, L., Al-Obeidallah, M., Pavlidis, M., Mouratidis, H., Tsohou, A., Magkos, E., Praitano, A., Iodice, A. and Gallego-Nicasio Crespo, B. 2020. DEFeND DSM: a data scope management service for model-based privacy by design GDPR compliance. 17th International Conference on Trust and Privacy in Digital Business. Bratislava, Slovakia 14 - 17 Sep 2020 Springer. https://doi.org/10.1007/978-3-030-58986-8_13
TypeConference paper
TitleDEFeND DSM: a data scope management service for model-based privacy by design GDPR compliance
AuthorsPiras, L., Al-Obeidallah, M., Pavlidis, M., Mouratidis, H., Tsohou, A., Magkos, E., Praitano, A., Iodice, A. and Gallego-Nicasio Crespo, B.
Abstract

The introduction of the European General Data Protection Regulation (GDPR) has brought significant benefits to citizens, but it has also created challenges for organisations, which are facing with difficulties interpreting it and properly applying it. An important challenge is compliance with the Privacy by Design and by default (PbD) principles, which require that data protection is integrated into processing activities and business practices from the design stage. Recently, the European Data Protection Board (EDPB) released an official document with PbD guidelines, and there are various efforts to provide approaches to support these. However, organizations are still facing difficulties in identifying a flow for executing, in a coherent, linear and effective way, these activities, and a complete toolkit for supporting this. In this paper, we: (i) identify the most important PbD activities and strategies, (ii) design a coherent, linear and effective flow for them, and (iii) describe our comprehensive supporting toolkit, as part of the DEFeND EU Project platform. Specifically, within DEFeND, we identified candidate tools, fulfilling specific GDPR aspects, and integrated them in a comprehensive toolkit: the DEFeND Data Scope Management service (DSM). The aim of DSM is to support organizations for continuous GDPR compliance through Model-Based Privacy by Design analysis. Here, we present important PbD activities and strategies individuated, then describe DSM, its design, flow, and a preliminary case study and evaluation performed with pilots from the healthcare, banking, public administration and energy sectors.

KeywordsPrivacy by Design; Privacy engineering; Security engineering; Data protection; GDPR; Data Scope Management; Privacy
Conference17th International Conference on Trust and Privacy in Digital Business
Proceedings TitleTrust, Privacy and Security in Digital Business: 17th International Conference, TrustBus 2020, Bratislava, Slovakia, September 14–17, 2020, Proceedings
SeriesLecture Notes in Computer Science
ISSN0302-9743
Electronic1611-3349
ISBN
Paperback9783030589851
Electronic9783030589868
PublisherSpringer
Publication dates
Print14 Sep 2020
Publication process dates
Deposited10 May 2024
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-030-58986-8_13
Web of Science identifierWOS:000728363800013
LanguageEnglish
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