Conference paper

 
Cvrček, D., Kumpošt, M., Matyáš, V.: A Privacy Classification Model Based on Linkability Valuation, In: Security and Embedded Systems, NL, NL, Kluwer, 2006, p. 91-98, ISBN 978-1-58603-580-8
Publication language:english
Original title:A Privacy Classification Model Based on Linkability Valuation
Title (cs):On the role of contextual information for privacy attacks and classification
Pages:91-98
Proceedings:Security and Embedded Systems
Conference:Security and Embedded Systems
Series:NATO Security through Science Series, D: Information and Communication Security, Volume 2
Place:NL, NL
Year:2006
ISBN:978-1-58603-580-8
Publisher:Kluwer Academic Publishers
Keywords
privacy, security, linkability, modelling
Annotation
Many papers and articles attempt to define or even quantify privacy, typically with a major focus on anonymity. We propose new means of describing (obviously only observable) characteristics of a system to reflect the role of contexts for profiling -- and linking -- users with actions in a system. We believe this approach should allow for evaluating privacy in large data sets.
BibTeX:
@INPROCEEDINGS{
   author = {Daniel Cvrček and Marek Kumpošt and Václav Matyáš},
   title = {A Privacy Classification Model Based on Linkability
	Valuation},
   pages = {91--98},
   booktitle = {Security and Embedded Systems},
   series = {NATO Security through Science Series, D: Information and
	Communication Security, Volume 2},
   year = {2006},
   location = {NL, NL},
   publisher = {Kluwer Academic Publishers},
   ISBN = {978-1-58603-580-8},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=7964}
}