Core-Concavity, Gain Functions And Axioms For Information Leakage

ART OF MODELLING COMPUTATIONAL SYSTEMS: A JOURNEY FROM LOGIC AND CONCURRENCY TO SECURITY AND PRIVACY: ESSAYS DEDICATED TO CATUSCIA PALAMIDESSI ON THE OCCASION OF HER 60TH BIRTHDAY(2019)

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摘要
This work explores connections between core-concavity and gain functions, two alternative approaches that emerged in the quantitative information flow community to provide a general framework to study information leakage. In particular (1) we revisit "Axioms for Information Leakage" by replacing averaging with.-averaging and convexity with core-concavity. An interesting consequence of these changes is that the revised axioms capture all Renyi entropies, including the ones not captured by the original formulation of the axioms. (2) We provide an alternative proof for the Coriaceous Theorem based on core-concavity. The general approach of this work is more information theoretical in nature than the work based on gain functions and provides an alternative foundational view of quantitative information flow, rooted on the essential properties of entropy as a measure of uncertainty.
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