%0 Conference Proceedings
%T Quantitative Information Flow under Generic Leakage Functions and Adaptive Adversaries
%+ Università degli Studi di Firenze = University of Florence = Université de Florence (UniFI)
%+ IMT Institute for Advanced Studies [Lucca]
%A Boreale, Michele
%A Pampaloni, Francesca
%Z Part 3: Security Analysis
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 34th Formal Techniques for Networked and Distributed Systems (FORTE)
%C Berlin, Germany
%Y Erika Ábrahám
%Y Catuscia Palamidessi
%I Springer
%3 Formal Techniques for Distributed Objects, Components, and Systems
%V LNCS-8461
%P 166-181
%8 2014-06-03
%D 2014
%R 10.1007/978-3-662-43613-4_11
%K quantitative information flow
%K adaptive attackers
%K information theory
%Z Computer Science [cs]
%Z Computer Science [cs]/Networking and Internet Architecture [cs.NI]Conference papers
%X We put forward a model of action-based randomization mechanisms to analyse quantitative information flow (qif) under generic leakage functions, and under possibly adaptive adversaries. This model subsumes many of the qif models proposed so far. Our main contributions include the following: (1) we identify mild general conditions on the leakage function under which it is possible to derive general and significant results on adaptive qif; (2) we contrast the efficiency of adaptive and non-adaptive strategies, showing that the latter are as efficient as the former in terms of length up to an expansion factor bounded by the number of available actions; (3) we show that the maximum information leakage over strategies, given a finite time horizon, can be expressed in terms of a Bellman equation. This can be used to compute an optimal finite strategy recursively, by resorting to standard methods like backward induction.
%G English
%Z TC 6
%Z WG 6.1
%2 https://inria.hal.science/hal-01398015/document
%2 https://inria.hal.science/hal-01398015/file/978-3-662-43613-4_11_Chapter.pdf
%L hal-01398015
%U https://inria.hal.science/hal-01398015
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC6
%~ IFIP-WG6-1
%~ IFIP-FORTE
%~ IFIP-LNCS-8461