Privacy-aware Linked Widgets

Fernandez Garcia, Javier D. and Ekaputra, Fajar J. and Aryan, Peb Ruswono and Azzam, Amr and Kiesling, Elmar (2019) Privacy-aware Linked Widgets. In: Privacy-aware Linked Widgets. ACM Press, TDB. pp. 1-6. ISBN 978-1-4503-6675-5/19/05

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Abstract

The European General Data Protection Regulation (GDPR) brings new challenges for companies, who must demonstrate that their systems and business processes comply with usage constraints specified by data subjects. However, due to the lack of standards, tools, and best practices, many organizations struggle to adapt their infrastructure and processes to ensure and demonstrate that all data processing is in compliance with users' given consent. The SPECIAL EU H2020 project has developed vocabularies that can formally describe data subjects' given consent as well as methods that use this description to automatically determine whether processing of the data according to a given policy is compliant with the given consent. Whereas this makes it possible to determine whether processing was compliant or not, integration of the approach into existing line of business applications and ex-ante compliance checking remains an open challenge. In this short paper, we demonstrate how the SPECIAL consent and compliance framework can be integrated into Linked Widgets, a mashup platform, in order to support privacy-aware ad-hoc integration of personal data. The resulting environment makes it possible to create data integration and processing workflows out of components that inherently respect usage policies of the data that is being processed and are able to demonstrate compliance. We provide an overview of the necessary meta data and orchestration towards a privacy-aware linked data mashup platform that automatically respects subjects' given consents. The evaluation results show the potential of our approach for ex-ante usage policy compliance checking within the Linked Widgets Platforms and beyond.

Item Type: Book Section
Additional Information: This work has been supported by the European Union's Horizon 2020 research and innovation programme under grant 731601(SPECIAL), by the Austrian Research Promotion Agency (FFG): grant no. 861213 (CitySPIN) and 867559 (EXPEDiTE), and by the Austrian Federal Ministry for Digital, Business and Enterprise and the National Foundation for Research, Technology and Development.
Keywords: Privacy; GDPR; Compliance; Linked Data
Divisions: Departments > Informationsverarbeitung u Prozessmanag.
Version of the Document: Published
Depositing User: Gertraud Novotny
Date Deposited: 08 Mar 2019 14:13
Last Modified: 14 Mar 2019 10:23
Related URLs:
FIDES Link: https://bach.wu.ac.at/d/research/results/90395/
URI: https://bach-s59.wu.ac.at/id/eprint/6859

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