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Title:	Privacy Dashboards: Reconciling Data-Driven Business Models and Privacy
Publication type:	Conference papers
Authors:	Zimmermann C, Accorsi R, Müller G
Year of publication:	2014
Publisher:	IEEE
Conference:	Proceedings of the 2014 Ninth International Conference on Availability, Reliability and Security (ARES)
Pages:	152 - 157
Abstract:	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