Quantifying information leakage of randomized protocols

Fabrizio Biondi, Axel Legay, Pasquale Malacaria, Andrzej Wasowski

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

    Abstract

    The quantification of information leakage provides a quantitative evaluation of the security of a system. We propose the usage of Markovian processes to model deterministic and probabilistic systems. By using a methodology generalizing the lattice of information approach we model refined attackers capable to observe the internal behavior of the system, and quantify the information leakage of such systems. We also use our method to obtain an algorithm for the computation of channel capacity from our Markovian models. Finally, we show how to use the method to analyze timed and non-timed attacks on the Onion Routing protocol.
    Original languageEnglish
    JournalTheoretical Computer Science
    Volume597
    Pages (from-to)62-87
    ISSN0304-3975
    DOIs
    Publication statusPublished - 2015

    Keywords

    • Model checking
    • Quantitative information flow
    • Information leakage
    • Markov chain
    • Markov decision process
    • Channel capacity
    • Probabilistic system

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