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Information Systems
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RE '05 Proceedings of the 13th IEEE International Conference on Requirements Engineering
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RE '05 Proceedings of the 13th IEEE International Conference on Requirements Engineering
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SP '06 Proceedings of the 2006 IEEE Symposium on Security and Privacy
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What's wrong with online privacy policies?
Communications of the ACM - ACM's plan to go online first
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Information and Software Technology
An obligation model bridging access control policies and privacy policies
Proceedings of the 13th ACM symposium on Access control models and technologies
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REFSQ '08 Proceedings of the 14th international conference on Requirements Engineering: Foundation for Software Quality
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ER '08 Proceedings of the ER 2008 Workshops (CMLSA, ECDM, FP-UML, M2AS, RIGiM, SeCoGIS, WISM) on Advances in Conceptual Modeling: Challenges and Opportunities
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AAMAS'02 Proceedings of the 2002 international conference on Trust, reputation, and security: theories and practice
Privacy in Context: Technology, Policy, and the Integrity of Social Life
Privacy in Context: Technology, Policy, and the Integrity of Social Life
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ER'10 Proceedings of the 29th international conference on Conceptual modeling
Social Modeling for Requirements Engineering
Social Modeling for Requirements Engineering
ESORICS'05 Proceedings of the 10th European conference on Research in Computer Security
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User-centric privacy management is an important component of the Personal Web, and even more so in the context of personal health applications. We describe the motivations behind the development of a personal web privacy framework and outline a layered model for self-management of privacy in the context of Personal Health Record applications. In this paper we provide an overview of our framework. The privacy goals and settings mediator model addresses the understandability problem of privacy agreements and settings by supporting the users' privacy decision-making process. This model provides privacy experts with the tool support to encode their knowledge and fill the gap between the end-users' high-level privacy intentions and what personal health applications offer as privacy features. The second model in our framework, smart privacy model, is an ontological model that supports privacy enforcement. The model provides interoperable and computer interpretable translations of privacy settings, allowing the privacy settings selected by a user, to be translated as enforceable constraints on the data and processes of a personal workflow.