DocumentCode :
182001
Title :
Privacy Dashboards: Reconciling Data-Driven Business Models and Privacy
Author :
Zimmermann, Christian ; Accorsi, Rafael ; Muller, Gunter
Author_Institution :
Bus. Process Security Group, Univ. of Freiburg, Freiburg, Germany
fYear :
2014
fDate :
8-12 Sept. 2014
Firstpage :
152
Lastpage :
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.
Keywords :
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; Accuracy; Business; Data collection; Data privacy; Google; Instruments; Privacy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Availability, Reliability and Security (ARES), 2014 Ninth International Conference on
Conference_Location :
Fribourg
Type :
conf
DOI :
10.1109/ARES.2014.27
Filename :
6980276
Link To Document :
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