Abstract
GDPR entered into force in May 2018 for enhancing user data protection. Even though GDPR leads towards a radical change with many advantages for the data subjects it turned out to be a significant challenge. Organizations need to make long and complex changes for the personal data processing activities to become GDPR compliant. Citizens as data subjects are empowered with new rights, which however they need to become aware of and understand. Finally, the role of data protection authorities changes as well as their expectations from organizations. GDPR compliance being a challenging matter for the relevant stakeholders calls for a software platform that can support their needs. The aim of the Data govErnance For supportiNg gDpr (DEFeND) EU Project is to deliver such a platform. To succeed, the platform needs to satisfy legal and privacy requirements, be effective in supporting organizations in GDPR compliance, and provide functionalities that data controllers request for supporting GDPR compliance. Further, it needs to satisfy acceptance requirements, for assuring that its users will embrace and use the platform. In this paper, we describe the process, within the DEFeND EU Project, for eliciting and analyzing requirements for such a complex platform, by involving stakeholders from the banking, energy, health and public administration sectors, and using advanced frameworks for privacy requirements and acceptance requirements. The paper also contributes by providing elicited privacy and acceptance requirements concerning a holistic platform for supporting GDPR compliance.
Original language | English |
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Title of host publication | Computer Security - ESORICS 2019 International Workshops, CyberICPS, SECPRE, SPOSE, and ADIoT, Revised Selected Papers |
Subtitle of host publication | In conjunction with ESORICS 2019 |
Editors | Sokratis Katsikas, Sokratis Katsikas, Frédéric Cuppens, Nora Cuppens, Costas Lambrinoudakis, Stefanos Gritzalis, Christos Kalloniatis, John Mylopoulos, Annie Antón, Frank Pallas, Jörg Pohle, Angela Sasse, Weizhi Meng, Steven Furnell, Joaquin Garcia-Alfaro |
Place of Publication | Cham |
Publisher | Springer |
Pages | 204-223 |
Number of pages | 20 |
ISBN (Electronic) | 9783030420482 |
ISBN (Print) | 9783030420475 |
DOIs | |
Publication status | Published - 22 Feb 2020 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 11980 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Keywords
- Compliance
- GDPR
- Prioritisation
- Software requirements
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Michalis Pavlidis
- School of Arch, Tech and Eng - Principal Lecturer
- Computing and Mathematical Sciences Research Excellence Group
Person: Academic