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van Heerde, H.J.W. (2006) Life-Cycle Privacy Policies for the Ambient Intelligence. Master's thesis, University of Twente.
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Ambient Intelligence (AmI) environments continuously monitor individuals’ context such as locations, activities, etcetera. The purpose of this is to make existing applications smarter, so they can make decisions without requiring user interaction. Such AmI smartness ability is tightly coupled to quantity and quality of the available context. Keeping in mind that there is a chance that their privacy is violated, it is not likely that people are willing to accept an environment in which many actions and the behavior of people are sensed to make a smart AmI possible. The goal of our research is to make a compromise between privacy and smartness in the AmI, by introducing policies in which donors can regulate the life cycle of their context data.We believe that, by giving the full control on their privacy to the donors of the context, will help the Ambient Intelligence being accepted by the public. In this thesis, we propose to bind user specific Life-Cycle Policies (LCP) to context data regulating its progressive degradation.We investigate the problem of correctness of the LCP model when used to implant one-way degradation (ensuring that degraded information can no longer be recovered from the current database content). Finally, we show the feasibility of the proposed techniques by implementing a prototype on top of a traditional relational database.
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