Statistical measurement of information leakage

K. Chatzikokolakis, T. Chothia, A. Guha

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

56 Citations (Scopus)


Information theory provides a range of useful methods to analyse probability distributions and these techniques have been successfully applied to measure information flow and the loss of anonymity in secure systems. However, previous work has tended to assume that the exact probabilities of every action are known, or that the system is non-deterministic. In this paper, we show that measures of information leakage based on mutual information and capacity can be calculated, automatically, from trial runs of a system alone. We find a confidence interval for this estimate based on the number of possible inputs, observations and samples. We have developed a tool to automatically perform this analysis and we demonstrate our method by analysing a Mixminon anonymous remailer node.
Original languageEnglish
Title of host publicationTools and Algorithms for the Construction and Analysis of Systems (16th International Conference, TACAS 2010, Paphos, Cyprus, March 20-28, 2010. Proceedings)
EditorsJ. Esparza, R. Majumdar
Place of PublicationBerlin
ISBN (Print)978-3-642-12001-5
Publication statusPublished - 2010

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743


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