Title
Balancing smartness and privacy for the ambient intelligence
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.
Year
DOI
Venue
2006
10.1007/11907503_26
EuroSSC
Keywords
Field
DocType
privacy viewpoint,privacy requirement,balancing smartness,ambient world,ambient intelligence,coarse data benefit privacy,context data,stored context history,high quality,privacy-sensitive context data,large privacy risk,life cycle
Computer security,Ambient intelligence,Computer science,Ubiquitous computing,Information privacy,Ambient calculus,Privacy software
Conference
Volume
ISSN
ISBN
4272
0302-9743
3-540-47842-6
Citations 
PageRank 
References 
2
0.41
8
Authors
4
Name
Order
Citations
PageRank
Harold van Heerde181.27
Nicolas Anciaux214822.93
Ling Feng31166136.15
Peter M. G. Apers41242489.68