Title :
A Model for Privacy Policy Visualization
Author :
Ghazinour, Kambiz ; Majedi, Maryam ; Barker, Ken
Author_Institution :
Dept. of Comput. Sci., Univ. of Calgary, Calgary, AB, Canada
Abstract :
Privacy is a leading concern for anyone that utilizes computing resources whether shopping on the Internet or visiting their doctor. Legislative acts require enterprises and data collectors to protect the privacy of their customers and data owners. Although privacy policy frameworks such as P3P assist data collectors in demonstrating their privacy policies to customers (i.e. publishing privacy policy on Web sites), insufficient research has been reported to help users visualize privacy policies. This paper presents a privacy policy visualization model based on the predicates of a privacy policy model. The key contribution is to provide a visualization model that facilitates understanding the policies for the data owners and provides the opportunity for the policy officers to better understand the designed policies. Finally, we demonstrate the model with a use case drawn from the policies of an online social network.
Keywords :
data privacy; data visualisation; legislation; security of data; legislative act; online social network; privacy policy visualization model; privacy protection; Application software; Computer applications; Computer science; Data privacy; Data visualization; Design optimization; Internet; Protection; Publishing; Social network services; Privacy policy; privacy model; privacy protection; visualization model;
Conference_Titel :
Computer Software and Applications Conference, 2009. COMPSAC '09. 33rd Annual IEEE International
Conference_Location :
Seattle, WA
Print_ISBN :
978-0-7695-3726-9
DOI :
10.1109/COMPSAC.2009.156