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@inproceedings{630624, author = {Matyáš, Václav and Cvrček, Daniel and Kumpošt, Marek}, address = {Netherlands}, booktitle = {Security and Embedded Systems}, keywords = {privacy; security; linkability; modeling}, language = {eng}, location = {Netherlands}, isbn = {1-58603-580-0}, pages = {91-98}, publisher = {Kluwer / IOS Press}, title = {A Privacy Classification Model Based on Linkability Valuation}, year = {2006} }
TY - JOUR ID - 630624 AU - Matyáš, Václav - Cvrček, Daniel - Kumpošt, Marek PY - 2006 TI - A Privacy Classification Model Based on Linkability Valuation PB - Kluwer / IOS Press CY - Netherlands SN - 1586035800 KW - privacy KW - security KW - linkability KW - modeling N2 - 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. ER -
MATYÁŠ, Václav, Daniel CVRČEK and Marek KUMPOŠT. A Privacy Classification Model Based on Linkability Valuation. In \textit{Security and Embedded Systems}. Netherlands: Kluwer / IOS Press, 2006, p.~91-98. ISBN~1-58603-580-0.
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