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Hidden-Markov modeling of QIF in sequential programs

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The Science of Quantitative Information Flow

Part of the book series: Information Security and Cryptography ((ISC))

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Abstract

In the last chapter we made the case for embedding our treatment of QIF, developed in Parts I–III as “channels that leak”, in a programming-language setting.

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Authors and Affiliations

  1. Computer Science Department, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil

    Mário S. Alvim

  2. Department of Informatics and Telecommunications, University of Athens, Athens, Greece

    Konstantinos Chatzikokolakis

  3. Department of Computing, Macquarie University, Sydney, NSW, Australia

    Annabelle McIver

  4. School of Computer Science & Engineering, University of New South Wales Trustworthy Systems, Data61 CSIRO, Sydney, NSW, Australia

    Carroll Morgan

  5. Inria Saclay and LIX École Polytechnique, Institut Polytechnique de Paris, Palaiseau, France

    Catuscia Palamidessi

  6. School of Computing & Information Sciences, Florida International University, Miami, FL, USA

    Geoffrey Smith

Authors
  1. Mário S. Alvim
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  2. Konstantinos Chatzikokolakis
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  3. Annabelle McIver
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  4. Carroll Morgan
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  5. Catuscia Palamidessi
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  6. Geoffrey Smith
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Alvim, M.S., Chatzikokolakis, K., McIver, A., Morgan, C., Palamidessi, C., Smith, G. (2020). Hidden-Markov modeling of QIF in sequential programs. In: The Science of Quantitative Information Flow. Information Security and Cryptography. Springer, Cham. https://doi.org/10.1007/978-3-319-96131-6_14

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  • DOI: https://doi.org/10.1007/978-3-319-96131-6_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-96129-3

  • Online ISBN: 978-3-319-96131-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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