Implanting Life-Cycle Privacy Policies in a Context Database

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

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Ambient intelligence (AmI) environments continuously monitor surrounding individuals’ context (e.g., location, activity, etc.) to make existing applications smarter, i.e., make decision without requiring user interaction. Such AmI smartness ability is tightly coupled to quantity and quality of the available (past and present) context. However, context is often linked to an individual (e.g., location of a given person) and as such falls under privacy directives. The goal of this paper is to enable the difficult wedding of privacy (automatically fulfilling users’ privacy whishes) and smartness in the AmI. interestingly, privacy requirements in the AmI are different from traditional environments, where systems usually manage durable data (e.g., medical or banking information), collected and updated trustfully either by the donor herself, her doctor, or an employee of her bank. Therefore, proper information disclosure to third parties constitutes a major privacy concern in the traditional studies.
Original languageUndefined
Place of PublicationEnschede
PublisherUniversity of Twente
Number of pages20
Publication statusPublished - Jan 2006

Publication series

NameCTIT Technical Report Series
PublisherUniversity of Twente
ISSN (Print)1381-3625


  • IR-57895
  • EWI-7428
  • Life-Cycle Policy
  • Multi-granularity Data Model
  • Ambient Intelligence
  • Context Management
  • Privacy
  • METIS-238690

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