Result Details

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.
Type
conference paper
Language
English
Authors
Cvrček Daniel, doc. Ing., Ph.D., DITS (FIT)
Kumpošt Marek, RNDr., Ph.D., DITS (FIT)
Matyáš Václav, Dr.
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 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.

Keywords

privacy, security, linkability, modelling

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
ISBN
978-1-58603-580-8
Publisher
Kluwer Academic Publishers
Place
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"
}
Projects
Information system security - research of attacks on tamper-resistant cryptographic hardware, GACR, Standardní projekty, GA102/04/0871, start: 2004-01-01, end: 2006-12-31, completed
Reputation-based Security in Information Systems, MŠMT, Podpora začínajících pracovníků výzkumu (Národní program výzkumu), 1K04106, start: 2004-06-22, end: 2007-06-30, completed
Research groups
IT Security Research Group (RG Security@FIT)
Departments
Department of Intelligent Systems (DITS)
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