Approximate Information Flows: Socially-Based Modeling of Privacy in Ubiquitous Computing
UbiComp '02 Proceedings of the 4th international conference on Ubiquitous Computing
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PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
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Proceedings of the 2nd international conference on Mobile systems, applications, and services
Privacy risk models for designing privacy-sensitive ubiquitous computing systems
DIS '04 Proceedings of the 5th conference on Designing interactive systems: processes, practices, methods, and techniques
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BT Technology Journal
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CARPE '05 Proceedings of the 2nd ACM workshop on Continuous archival and retrieval of personal experiences
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Proceedings of the 14th ACM international conference on Information and knowledge management
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ENC '05 Proceedings of the Sixth Mexican International Conference on Computer Science
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Assistive intelligent environments for automatic health monitoring
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EURASIP Journal on Applied Signal Processing
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ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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Personal and Ubiquitous Computing
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Proceedings of the Second ACM SIGSPATIAL International Workshop on the Use of GIS in Public Health
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Privacy is an important aspect of pervasive and ubiquitous computing systems, and, in particular, pervasive healthcare. With reference to previous approaches on developing privacy sensitive pervasive healthcare applications, we detail a framework for the design of such systems that aims to minimise the impact of privacy on such systems. In reviewing previous approaches, we extract and combine common elements in order to unify the approaches and create a more formal methodology for designing privacy mechanisms in pervasive healthcare applications. In doing so we also consider the manner in which ubiquitous technologies impact on privacy and methods for reducing this impact. We demonstrate how the framework can be applied by using examples from the previous approaches. In addressing privacy issues, the framework aims to remove a large obstacle to deployment of pervasive healthcare systems, acceptance of the technology.