Preserving Privacy in Environments with Location-Based Applications
IEEE Pervasive Computing
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A comparison of two privacy policy languages: EPAL and XACML
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Obligations: Building a Bridge between Personal and Enterprise Privacy in Pervasive Computing
TrustBus '08 Proceedings of the 5th international conference on Trust, Privacy and Security in Digital Business
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In this paper we address the realization of personal privacy control in pervasive computing.We argue that personal privacy demands differ substantially from those assumed in enterprise privacy control. This is demonstrated by introducing seven requirements specific for personal privacy, which are then used for the definition of our privacy policy language, called SenTry. It is designed to take into account the expected level of privacy from the perspective of the individual when interacting with context-aware services. SenTry serves as the base for implementing personal privacy in our User-centric Privacy Framework for pervasive computing.