Consistent privacy preferences (CPP): model, semantics, and properties
Proceedings of the 2008 ACM symposium on Applied computing
Modelling of personal identifiable information in a resource description framework
International Journal of Metadata, Semantics and Ontologies
Risk Evaluation for Personal Identity Management Based on Privacy Attribute Ontology
ER '08 Proceedings of the 27th International Conference on Conceptual Modeling
Dynamic inference control in privacy preference enforcement
Proceedings of the 2006 International Conference on Privacy, Security and Trust: Bridge the Gap Between PST Technologies and Business Services
Auditing and inference control for privacy preservation in uncertain environments
EuroSSC'06 Proceedings of the First European conference on Smart Sensing and Context
Rule-based policy representation and reasoning for the semantic web
RW'07 Proceedings of the Third international summer school conference on Reasoning Web
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The Platform for Privacy Preferences (P3P) is a W3C framework for web privacy management. It provides a standard vocabulary that websites can use to describe their privacy practices. The presence of website published P3P policies enable users to configure web browsers to allow, block or warn users during access and data exchange with web-sites. Itýs a good idea that unfortunately is rarely used. We identify three primary reasons: (i) the languages available to describe user privacy preferences are not sufficiently expressive, (ii) P3P policies published by websites are not trusted by users and (iii) P3P framework does not provide a coherent view of available privacy protection mechanisms to the user. Towards addressing these issues; we present enhancements to the P3P framework. We use a more expressive policy language based on deontic concepts to describe users privacy-related policies, constraints and preferences. We introduce a new trust model for websites and describe its use in user privacy preferences. Finally, we present sample policies to demonstrate the relevance of our work and offer it as an effective starting point towards enhancing Web Privacy management.