Balancing smartness and privacy for the ambient intelligence

Authors:
Harold van Heerde;Nicolas Anciaux;Ling Feng;Peter M. G. Apers
Affiliations:
Centre for Telematics and Information Technology, University of Twente, The Netherlands;INRIA, France;Centre for Telematics and Information Technology, University of Twente, The Netherlands;Centre for Telematics and Information Technology, University of Twente, The Netherlands
Venue:
EuroSSC'06 Proceedings of the First European conference on Smart Sensing and Context
Year:
2006

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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.