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Balancing Smartness and Privacy for the Ambient Intelligence

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Smart Sensing and Context (EuroSSC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 4272))

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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.

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© 2006 Springer-Verlag Berlin Heidelberg

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van Heerde, H., Anciaux, N., Feng, L., Apers, P.M.G. (2006). Balancing Smartness and Privacy for the Ambient Intelligence. In: Havinga, P., Lijding, M., Meratnia, N., Wegdam, M. (eds) Smart Sensing and Context. EuroSSC 2006. Lecture Notes in Computer Science, vol 4272. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11907503_26

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  • DOI: https://doi.org/10.1007/11907503_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-47842-3

  • Online ISBN: 978-3-540-47845-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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