EEMCS

Home > Publications
Home University of Twente
Education
Research
Prospective Students
Jobs
Publications
Intranet (internal)
 
 Nederlands
 Contact
 Search
 Organisation

EEMCS EPrints Service


7992 Balancing smartness and privacy for the Ambient Intelligence
Home Policy Brochure Browse Search User Area Contact Help

van Heerde, H.J.W. and Anciaux, N.L.G. and Feng, Ling and Apers, P.M.G. (2006) Balancing smartness and privacy for the Ambient Intelligence. In: Proceedings of the 1st European Conference on Smart Sensing and Context (EuroSCC 2006), 25-27 Oct 2006, Enschede, The Netherlands. pp. 255-258. Lecture Notes in Computer Science 4272. Springer Verlag. ISBN 3-540-47842-6

Full text available as:

PDF

105 Kb
Open Access



Official URL: http://dx.doi.org/10.1007/11907503_26

Exported to Metis

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.

Item Type:Conference or Workshop Paper (Extended Abstract, Talk, Poster)
Research Group:EWI-DB: Databases
Research Program:CTIT-NICE: Natural Interaction in Computer-mediated Environments
Research Project:CADMAI: Towards Context-Aware Data Management for Ambient Intelligence
ID Code:7992
Status:Published
Deposited On:07 December 2006
Refereed:Yes
International:Yes
More Information:statisticsmetis

Export this item as:

To correct this item please ask your editor

Repository Staff Only: edit this item