A Privacy Classification Model Based on Linkability Valuation

MATYÁŠ, Václav, Daniel CVRČEK and Marek KUMPOŠT. A Privacy Classification Model Based on Linkability Valuation. In Security and Embedded Systems. Netherlands: Kluwer / IOS Press, 2006, p. 91-98. ISBN 1-58603-580-0.

Basic information

• Original name: A Privacy Classification Model Based on Linkability Valuation
• Name in Czech: Model pro klasifikaci soukromí založený na ohodnocení spojitelnosti
• Authors: MATYÁŠ, Václav (203 Czech Republic, guarantor), Daniel CVRČEK (203 Czech Republic) and Marek KUMPOŠT (203 Czech Republic).
• Edition: Netherlands, Security and Embedded Systems, p. 91-98, 8 pp. 2006.
• Publisher: Kluwer / IOS Press

Other information

• Original language: English
• Type of outcome: Proceedings paper
• Field of Study: 10201 Computer sciences, information science, bioinformatics
• Country of publisher: Netherlands
• Confidentiality degree: is not subject to a state or trade secret
• RIV identification code: RIV/00216224:14330/06:00016662
• Organization unit: Faculty of Informatics
• ISBN: 1-58603-580-0
• Keywords in English: privacy; security; linkability; modeling
• Tags: linkability, modeling, privacy, security
• Tags: International impact, Reviewed

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.

Abstract (in Czech)

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.