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A Privacy Classification Model Based on Linkability Valuation
Dan Cvrček, Vashek Matyas, Marek Kumpošt
91 - 98
NATO Security through Science Series - D: Information and Communication Security
Volume 2: Security and Embedded Systems
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.

$35.00 / €27.50 / £22.00
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