An XPath-based preference language for P3P
WWW '03 Proceedings of the 12th international conference on World Wide Web
Efficient comparison of enterprise privacy policies
Proceedings of the 2004 ACM symposium on Applied computing
Enterprise privacy promises and enforcement
WITS '05 Proceedings of the 2005 workshop on Issues in the theory of security
Sociotechnical Architecture for Online Privacy
IEEE Security and Privacy
Enhancing Web Privacy Protection through Declarative Policies
POLICY '05 Proceedings of the Sixth IEEE International Workshop on Policies for Distributed Systems and Networks
PeCAN: an architecture for users' privacy-aware electronic commerce contexts on the semantic web
Information Systems - Special issue: The semantic web and web services
P3P: Making Privacy Policies More Useful
IEEE Security and Privacy
Privacy with Web Serivces: Intelligence Gathering and Enforcement
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Relationship Based Privacy Management for Ubiquitous Society
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part I
Enhancing privacy in cloud computing via policy-based obfuscation
The Journal of Supercomputing
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The Platform for Privacy Preferences (P3P) is a W3C specification that can be used to build useful protocols and services for protecting user privacy on the semantic Web. An outstanding issue is the need for a simple and efficient representation and management of consistent sets of rules for user privacy preferences. Thus we describe a model for privacy preference representation and management that has a number of desirable properties which are lacking in privacy preference models proposed thus far. We detail semantics and properties of matching preference rules with requests. We specify the properties of a consistent set of privacy preferences, and propose maintenance operations. Finally, we describe an implementation of our proposal that uses OWL (Web Ontology Language) and the Jena reasoning engine to illustrate the practicality of managing consistent user preferences in privacy rule-sets. An important advantage of our approach is that the user is encouraged to clarify privacy preferences as he/she modifies them as part of a back-end management task, as opposed to mainly at website interaction times.