Publication Details

A Privacy Classification Model Based on Linkability Valuation

CVRČEK Daniel, KUMPOŠT Marek and MATYÁŠ Václav. A Privacy Classification Model Based on Linkability Valuation. In: Security and Embedded Systems. NATO Security through Science Series, D: Information and Communication Security, Volume 2. NL: Kluwer Academic Publishers, 2006, pp. 91-98. ISBN 978-1-58603-580-8.
Czech title
On the role of contextual information for privacy attacks and classification
Type
conference paper
Language
english
Authors
Cvrček Daniel, doc. Ing., Ph.D. (DITS FIT BUT)
Kumpošt Marek, RNDr., Ph.D. (DITS FIT BUT)
Matyáš Václav, prof. RNDr., M.Sc., Ph.D. (FI MUNI)
Keywords

privacy, security, linkability, modelling

Abstract

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.

Published
2006
Pages
91-98
Proceedings
Security and Embedded Systems
Series
NATO Security through Science Series, D: Information and Communication Security, Volume 2
Conference
Security and Embedded Systems, Patras, GR
ISBN
978-1-58603-580-8
Publisher
Kluwer Academic Publishers
Place
NL, NL
BibTeX 
@INPROCEEDINGS{FITPUB7964,
   author = "Daniel Cvr\v{c}ek and Marek Kumpo\v{s}t and V\'{a}clav Maty\'{a}\v{s}",
   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 = "https://www.fit.vut.cz/research/publication/7964"
}
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