relation: http://eprints.imtlucca.it/1244/
title: Quantitative information flow, with a view
creator: Boreale, Michele
creator: Pampaloni, Francesca
creator: Paolini, Michela
subject: QA75 Electronic computers. Computer science
description: We put forward a general model intended for assessment of system security against passive eavesdroppers, both quantitatively ( how much information is leaked) and qualitatively ( what properties are leaked). To this purpose, we extend information hiding systems ( ihs ), a model where the secret-observable relation is represented as a noisy channel, with views : basically, partitions of the state-space. Given a view W and n independent observations of the system, one is interested in the probability that a Bayesian adversary wrongly predicts the class of W the underlying secret belongs to. We offer results that allow one to easily characterise the behaviour of this error probability as a function of the number of observations, in terms of the channel matrices defining the ihs and the view W . In particular, we provide expressions for the limit value as n → ∞, show by tight bounds that convergence is exponential, and also characterise the rate of convergence to predefined error thresholds. We then show a few instances of statistical attacks that can be assessed by a direct application of our model: attacks against modular exponentiation that exploit timing leaks, against anonymity in mix-nets and against privacy in sparse datasets.
publisher: Springer
contributor: Atluri, Vijay
contributor: Diaz, Claudia
date: 2011
type: Book Section
type: PeerReviewed
format: application/pdf
language: en
identifier: http://eprints.imtlucca.it/1244/1/Pampaloni_Paolini_LNCS_2011b.pdf
identifier:   Boreale, Michele and Pampaloni, Francesca and Paolini, Michela  Quantitative information flow, with a view.   In:  Computer Security – ESORICS 2011.   Lecture Notes in Computer Science, 6879  (6879).  Springer, pp. 588-606.  ISBN 978-3-642-23821-5      (2011)  
relation: http://dx.doi.org/10.1007/978-3-642-23822-2_32
relation: 10.1007/978-3-642-23822-2_32