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PRIVACY-AVARE: An approach to manage and distribute privacy settings

Alpers, Sascha ORCID iD icon; Oberweis, Andreas ORCID iD icon; Pieper, Maria; Betz, Stefanie; Fritsch, Andreas; Schiefer, Gunther ORCID iD icon; Wagner, Manuela

Abstract (englisch):

Privacy enhancing technologies become increasingly necessary as more and more personal data is collected. Especially, as nowadays everybody is permanently online using different applications and devices, users are often lacking the means to effectively control the access to their private data. Existing approaches provide only isolated solutions for one device and are limited in functionality to control data access. Moreover, existing solutions may not be legally compliant and lack usability, especially for non-experts. Therefore, we present an interdisciplinary approach to manage and distribute privacy settings: PRIVACY-AVARE is intended to enable users to centrally determine their data protection preferences and to apply them globally on different devices (mobiles, tablets, smart homes, cars, ...). In this paper, we present PRIVACY-AVARE by first introducing and discussing main functional and non-functional requirements with a special focus on compliance and usability requirements. Based on this discussion, we then develop a conceptual solution. Finally, we discuss the limitations of our approach and give an outlook.


Postprint §
DOI: 10.5445/IR/1000083524
Veröffentlicht am 01.01.2019
Originalveröffentlichung
DOI: 10.1109/CompComm.2017.8322784
Dimensions
Zitationen: 8
Cover der Publikation
Zugehörige Institution(en) am KIT Universität Karlsruhe (TH) – Einrichtungen in Verbindung mit der Universität (Einrichtungen in Verbindung mit der Universität)
FZI Forschungszentrum Informatik (FZI)
Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Fakultät für Informatik – Zentrum für Angewandte Rechtswissenschaft / Institut für Informations- und Wirtschaftsrecht (ZAR)
Publikationstyp Proceedingsbeitrag
Publikationsmonat/-jahr 12.2017
Sprache Englisch
Identifikator ISBN: 978-1-5090-6352-9
urn:nbn:de:swb:90-835244
KITopen-ID: 1000083524
Erschienen in 2017 3rd IEEE International Conference on Computer and Communications (ICCC), Chengdu, CHN, December 13-16, 2017
Verlag Institute of Electrical and Electronics Engineers (IEEE)
Seiten 1460-1468
Schlagwörter data protection; mobile apps; privacy enhancing technologies; data sovereignty; usability; legal conformity
Nachgewiesen in Dimensions
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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