DocumentCode
2777674
Title
An Ontological Study of Data Purpose for Privacy Policy Enforcement
Author
Chen, Shan ; Williams, Mary-Anne
Author_Institution
Centre for Quantum Comput. & Intell. Syst., Univ. of Technol., Sydney, NSW, Australia
fYear
2011
fDate
9-11 Oct. 2011
Firstpage
1208
Lastpage
1213
Abstract
Data purpose is a central concept in modeling privacy requirements. Existing purpose-based approaches for privacy protection have mainly focused on access control. The problem of ensuring the consistency between data purpose and data usage has been under-addressed. In an attempt to bridge this research gap, we develop a grounded understanding of data purpose and relevant key concepts that is fundamental to address the problem. We propose a Minimum Action Permission Principle as a basic guideline to establish a path to solutions to the consistency problem for privacy management.
Keywords
data privacy; ontologies (artificial intelligence); data purpose; minimum action permission principle; ontological study; privacy management; privacy policy enforcement; privacy protection; privacy requirements; Access control; Data models; Data privacy; Equations; Licenses; Privacy; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Privacy, Security, Risk and Trust (PASSAT) and 2011 IEEE Third Inernational Conference on Social Computing (SocialCom), 2011 IEEE Third International Conference on
Conference_Location
Boston, MA
Print_ISBN
978-1-4577-1931-8
Type
conf
DOI
10.1109/PASSAT/SocialCom.2011.128
Filename
6113283
Link To Document