We study quantitative information flow, from the perspective of an analyst who is interested in maximizing its expected gain in the process of discovering a secret, or settling a hypothesis, represented by an unobservable <i>X</i>, after observing some <i>Y</i> related to <i>X</i>. In our framework, inspired by...

In this paper we evaluate the characteristics observed both on a crime sample and on individuals included in a database to assess the probability of alternative hypotheses concerning identification. The problem is first addressed by considering a generic characteristic and we demonstrate the...