Abstract | ||
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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. |
Year | DOI | Venue |
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2014 | 10.1109/ARES.2014.27 | Availability, Reliability and Security |
Keywords | DocType | Citations |
business data processing,data acquisition,data protection,pattern classification,business intelligence tools,classification scheme,data collection,data usage,privacy dashboards,privacy protection,privacy-enabled data-driven business models | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Christian Zimmermann | 1 | 4 | 3.45 |
Rafael Accorsi | 2 | 469 | 33.96 |
Günter Müller | 3 | 174 | 20.17 |