Name
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 websites), 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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/COMPSAC.2009.156 | COMPSAC (2) |
Keywords | Field | DocType |
policy officer,data collector,insufficient research,data owner,privacy policy model,privacy policy,visualization model,publishing privacy policy,privacy policy visualization model,privacy policy visualization,key contribution,utility computing,computer applications,use case,organizations,application software,internet,design optimization,publishing,data visualisation,data visualization,data models,data privacy,computer science,privacy | Data modeling,Data visualization,Internet privacy,Social network,Privacy by Design,Computer security,Computer science,Privacy policy,Information privacy,Privacy software,The Internet | Conference |
ISSN | Citations | PageRank |
0730-3157 | 3 | 0.45 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kambiz Ghazinour | 1 | 89 | 11.91 |
| Maryam Majedi | 2 | 41 | 3.43 |
| Ken Barker | 3 | 834 | 83.23 |