Paper Info
Title
A purpose-based privacy-aware system using privacy data graph
Abstract
Privacy issue is receiving a great deal of attention since the need of privacy is increasing and new threats are emerging. The growing concern of users for their personal information has made it critical to implant effective technologies for privacy and data management. A common way for privacy preservation is restricting access to data like the classic Role-based Access Control (RBAC) Model. But the RBAC is limited as it does not provide users enough flexibilities and functionalities. In order to minimize the disclosure of data and support higher flexibilities for users to manage their privacy information, this paper provides a privacy data graph based on the traditional RBAC model to illustrate the linkage between data elements. Moreover, the notion of purpose is added to specify the intended usage of data and allow users to set personal privacy preferences through purpose. A case study in the healthcare domain is provided. As our model is generic, it can be also adapted to other fields. A detailed view of our proposed privacy system with experimental result is provided.
Year
DOI
Venue
2009
10.1145/1821748.1821827
MoMM
Keywords
Field
DocType
privacy issue,traditional rbac model,proposed privacy system,data element,privacy data graph,users enough flexibility,privacy preservation,privacy information,purpose-based privacy-aware system,personal privacy preference,data management,privacy,role based access control
Internet privacy,Privacy by Design,Computer science,Computer security,Role-based access control,Computer network,Personally identifiable information,Access control,Information privacy,Data access,Data management,Privacy software
Conference
Citations 
PageRank 
References 
1
0.35
11
Authors
3
Name
Order
Citations
PageRank
Yuan Tian127021.90
Biao Song229725.48
Eui-Nam Huh31036113.46