Detail publikace

A Privacy Classification Model Based on Linkability Valuation

CVRČEK Daniel, KUMPOŠT Marek a 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, s. 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
angličtina
Autoři
Cvrček Daniel, doc. Ing., Ph.D. (UITS FIT VUT)
Kumpošt Marek, RNDr., Ph.D. (UITS FIT VUT)
Matyáš Václav, prof. RNDr., M.Sc., Ph.D. (FI MUNI)
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 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.

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, 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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