Greater Control and Transparency in Personal Data Processing

Giray Havur; Miel Vander Sande; Sabrina Kirrane

doi:10.5220/0009143206550662

Greater Control and Transparency in Personal Data Processing

Giray Havur
, Miel Vander Sande
, Sabrina Kirrane

Institute for Complex Networks

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

159 Downloads (Pure)

Abstract

Although the European General Data Protection Regulation affords data subjects more control over how their personal data is stored and processed, there is a need for technical solutions to support these legal rights. In this position paper we assess the level of control, transparency and compliance offered by three different approaches (i.e., defacto standard, SPECIAL, Solid). We propose a layered decentralised architecture based on combining SPECIAL and Solid. Finally, we introduce our usage control framework, which we use to compare and contrast the level of control and compliance offered by the four different approaches.

Original language	English
Title of host publication	Proceedings of the 6th International Conference on Information Systems Security and Privacy
Editors	Steven Furnell , Paolo Mori, Edgar Weippl, Olivier Camp
Place of Publication	Valletta, Malta
Publisher	SciTePress
Pages	655 - 662
ISBN (Print)	978-989-758-399-5
DOIs	https://doi.org/10.5220/0009143206550662
Publication status	Published - 2020

Bibliographical note

Earlier version

Austrian Classification of Fields of Science and Technology (ÖFOS)

102
502050 Business informatics
505002 Data protection

Access to Document

10.5220/0009143206550662Licence: CC BY-NC-ND

ICISSP 2020 (1)Accepted author manuscript, 395 KBLicence: Other

3 Citations
1 Contribution to conference proceedings

Greater Control and Transparency in Personal Data Processing
Havur, G., Vander Sande, M. & Kirrane, S., 2020, Proceedings of the 6th International Conference on Information Systems Security and Privacy. Furnell , S., Mori, P., Weippl, E. & Camp, O. (eds.). Valletta, Malta: SciTePress, p. 655 - 662
Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

Open Access
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159 Downloads (Pure)

1 Finished

SPECIAL - Scalable Policy-awarE linked data arChitecture for prIvacy, trAnsparency and compLiance
Kirrane, S. (PI - Project head), Drozd, O. (researchers ), Fernandez Garcia, J. D. (researchers ), Havur, G. (researchers ), Polleres, A. (researchers ) & Spiekermann-Hoff, S. (researchers )
1/01/17 → 31/12/19
Project: Research funding

Cite this

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title = "Greater Control and Transparency in Personal Data Processing",

abstract = "Although the European General Data Protection Regulation affords data subjects more control over how their personal data is stored and processed, there is a need for technical solutions to support these legal rights. In this position paper we assess the level of control, transparency and compliance offered by three different approaches (i.e., defacto standard, SPECIAL, Solid). We propose a layered decentralised architecture based on combining SPECIAL and Solid. Finally, we introduce our usage control framework, which we use to compare and contrast the level of control and compliance offered by the four different approaches.",

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doi = "10.5220/0009143206550662",

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Greater Control and Transparency in Personal Data Processing. / Havur, Giray; Vander Sande, Miel; Kirrane, Sabrina.
Proceedings of the 6th International Conference on Information Systems Security and Privacy. ed. / Steven Furnell ; Paolo Mori; Edgar Weippl; Olivier Camp. Valletta, Malta: SciTePress, 2020. p. 655 - 662.

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

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DO - 10.5220/0009143206550662

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PB - SciTePress

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Greater Control and Transparency in Personal Data Processing

Abstract

Bibliographical note

Austrian Classification of Fields of Science and Technology (ÖFOS)

Access to Document

Other versions

Greater Control and Transparency in Personal Data Processing

Projects

SPECIAL - Scalable Policy-awarE linked data arChitecture for prIvacy, trAnsparency and compLiance

Cite this