Privacy Dashboards: Reconciling data-driven business models and privacy

被引：7
|
作者：
Zimmermann, Christian [1 ]
Accorsi, Rafael [1 ]
Mueller, Guenter [1 ]
机构：
[1] Univ Freiburg, Business Proc Secur Grp, Freiburg, Germany
来源：
2014 NINTH INTERNATIONAL CONFERENCE ON AVAILABILITY, RELIABILITY AND SECURITY (ARES) | 2015年
关键词：
TRANSPARENCY TOOLS; INFORMATION; TRUST; WILLINGNESS; COMMUNITIES; AWARENESS; PARADOX; ONLINE; IMPACT; WEB;
D O I：
10.1109/ARES.2014.27
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：152 / 157
页数：6
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