Detail publikace

A Privacy Classification Model Based on Linkability Valuation

CVRČEK, D.; KUMPOŠT, M.; MATYÁŠ, V. A Privacy Classification Model Based on Linkability Valuation. Security and Embedded Systems. NATO Security through Science Series, D: Information and Communication Security, Volume 2. NL: Kluwer Academic Publishers, 2006. p. 91-98. ISBN: 978-1-58603-580-8.
Název česky
On the role of contextual information for privacy attacks and classification
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Cvrček Daniel, doc. Ing., Ph.D.
Kumpošt Marek, RNDr., Ph.D.
Matyáš Václav, Dr. (CK-SZZ)
Klíčová slova

privacy, security, linkability, modelling

Abstrakt

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 reflectthe role of contexts for profiling -- and linking -- users withactions in a system. We believe this approach should allow forevaluating privacy in large data sets.

Rok
2006
Strany
91–98
Sborník
Security and Embedded Systems
Řada
NATO Security through Science Series, D: Information and Communication Security, Volume 2
Konference
Security and Embedded Systems, Patras, GR
ISBN
978-1-58603-580-8
Vydavatel
Kluwer Academic Publishers
Místo
NL
BibTeX 
@inproceedings{BUT18286,
  author="Daniel {Cvrček} and Marek {Kumpošt} and Václav {Matyáš}",
  title="A Privacy Classification Model Based on Linkability Valuation",
  booktitle="Security and Embedded Systems",
  year="2006",
  series="NATO Security through Science Series, D: Information and Communication Security, Volume 2",
  pages="91--98",
  publisher="Kluwer Academic Publishers",
  address="NL",
  isbn="978-1-58603-580-8"
}
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