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P.: Implanting life-cycle privacy policies in a context database (2006)

by N Anciaux, H van Heerde, L Feng, Apers
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Balancing Smartness and Privacy for the Ambient Intelligence

by Harold Van Heerde, Nicolas Anciaux, Ling Feng, Peter M. G. Apers - in "European Conference on Smart Sensing and Context (EuroSSC)", LNCS 4272 Springer 2006, ISBN , 2006
"... Abstract. Ambient Intelligence (AmI) will introduce large privacy risks. Stored context histories are vulnerable for unauthorized disclosure, thus unlimited storing of privacy-sensitive context data is not desirable from the privacy viewpoint. However, high quality and quantity of data enable smartn ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
Abstract. Ambient Intelligence (AmI) will introduce large privacy risks. Stored context histories are vulnerable for unauthorized disclosure, thus unlimited storing of privacy-sensitive context data is not desirable from the privacy viewpoint. However, high quality and quantity of data enable smartness for the AmI, while less and coarse data benefit privacy. This raises a very important problem to the AmI, that is, how to balance the smartness and privacy requirements in an ambient world. In this article, we propose to give to donors the control over the life cycle of their context data, so that users themselves can balance their needs and wishes in terms of smartness and privacy. 1
The National Science Foundation
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