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

页码：152 / 157

页数：6

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