Skip to Main content Skip to Navigation
Conference papers

Balancing smartness and privacy for the Ambient Intelligence

Harold van Heerde 1, 2 Nicolas Anciaux 2, 3 Ling Feng 1 Peter Apers 1
2 SMIS - Secured and Mobile Information Systems
PRISM - Parallélisme, Réseaux, Systèmes, Modélisation, UVSQ - Université de Versailles Saint-Quentin-en-Yvelines, Inria Paris-Rocquencourt, CNRS - Centre National de la Recherche Scientifique : UMR8144
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.
Document type :
Conference papers
Complete list of metadata

Cited literature [12 references]  Display  Hide  Download

https://hal.inria.fr/inria-00321682
Contributor : Elisabeth Baque <>
Submitted on : Monday, September 15, 2008 - 4:25:05 PM
Last modification on : Friday, January 10, 2020 - 3:42:19 PM
Long-term archiving on: : Thursday, June 3, 2010 - 8:20:44 PM

File

VAFA06.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Harold van Heerde, Nicolas Anciaux, Ling Feng, Peter Apers. Balancing smartness and privacy for the Ambient Intelligence. EuroSCC 2006 : European Conference on Smart Sensing and Context, Oct 2006, Enschede, Netherlands. pp.255-258, ⟨10.1007/11907503_26⟩. ⟨inria-00321682⟩

Share

Metrics

Record views

261

Files downloads

305