Balancing smartness and privacy for the Ambient Intelligence

H.J.W. van Heerde, N.L.G. Anciaux, L. Feng, Peter M.G. Apers

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

5 Citations (Scopus)
63 Downloads (Pure)

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.
Original languageUndefined
Title of host publicationProceedings of the 1st European Conference on Smart Sensing and Context (EuroSCC 2006)
Place of PublicationBerlin
PublisherSpringer
Pages255-258
Number of pages4
ISBN (Print)3-540-47842-6
DOIs
Publication statusPublished - Oct 2006
Event1st European Conference on Smart Sensing and Context, EuroSSC 2006 - Enschede, Netherlands
Duration: 25 Oct 200627 Oct 2006
Conference number: 1

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Verlag
Number06EX1521
Volume4272

Conference

Conference1st European Conference on Smart Sensing and Context, EuroSSC 2006
Abbreviated titleEuroSSC
CountryNetherlands
CityEnschede
Period25/10/0627/10/06

Keywords

  • DB-SDM: SECURE DATA MANAGEMENT
  • METIS-238275
  • EWI-7992
  • IR-66572

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