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 :
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