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CVRČEK, D. KUMPOŠT, M. MATYÁŠ, V.
Original Title
A Privacy Classification Model Based on Linkability Valuation
Type
article in a collection out of WoS and Scopus
Language
English
Original 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.
Keywords
privacy, security, linkability, modelling
Authors
CVRČEK, D.; KUMPOŠT, M.; MATYÁŠ, V.
RIV year
2006
Released
3. 3. 2006
Publisher
Kluwer Academic Publishers
Location
NL
ISBN
978-1-58603-580-8
Book
Security and Embedded Systems
Edition
NATO Security through Science Series, D: Information and Communication Security, Volume 2
Pages from
91
Pages to
98
Pages count
8
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" }