Title :
A Hierarchical Approach to the Specification of Privacy Preferences
Author :
Hong, Yuan ; Lu, Shuo ; Liu, Qian ; Wang, Lingyu ; Dssouli, Rachida
Author_Institution :
Concordia Univ., Montreal
Abstract :
In applications such as e-Health systems, a user´s consent should usually be obtained before his/her private information can be disclosed. For this purpose, users need to specify their privacy preferences about what data are to be disclosed to which recipients for what purposes. However, this may become a daunting task in a complicated application that involves potentially a large number of combinations of data recipients, purposes, and granularities of data. This paper proposes a hierarchical approach to address this issue. More specifically, we first observe that hierarchies naturally exist in each dimension of a privacy preference. We then propose a series of methods for users to more conveniently specify their privacy preferences based on such hierarchies. We also define meta-policies to resolve potential conflicts between preferences specified over time. Finally, we discuss how to represent the preferences with a snow- flake schema in backend databases.
Keywords :
health care; medical information systems; security of data; backend databases; e-Health systems; meta-policies; privacy preferences; snow- flake schema; Computer science; Control systems; Data privacy; Databases; Decision support systems; Information systems; Java; Legislation; Systems engineering and theory; Web sites;
Conference_Titel :
Innovations in Information Technology, 2007. IIT '07. 4th International Conference on
Conference_Location :
Dubai
Print_ISBN :
978-1-4244-1840-4
Electronic_ISBN :
978-1-4244-1841-1
DOI :
10.1109/IIT.2007.4430460