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