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Titel: Privacy Dashboards: Reconciling Data-Driven Business Models and Privacy
Publikationstyp: Konferenzbeiträge
Autoren: Zimmermann C, Accorsi R, Müller G
Erscheinungsjahr: 2014
Herausgeber: IEEE
Tagung: Proceedings of the 2014 Ninth International Conference on Availability, Reliability and Security (ARES)
Seiten: 152 - 157
Kurzfassung: We argue for the use of Privacy Dashboards as enablers for privacy-enabled data-driven business models. Specifically, while dashboards are succesful instruments in business intelligence tools, their use in privacy protection is far less well-understood. Addressing this problem at the technical level, this paper provides a classification scheme for Privacy Dashboards and elaborates on the current state of the art to draw a research agenda for designing Privacy Dashboards that cater to users' desire of control and businesses' need for data collection and usage.
URL/DOI: http://ieeexplore.ieee.or[...].jsp?arnumber=6980276
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