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Noninterference Analysis of  Reversible Probabilistic Systems

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Formal Techniques for Distributed Objects, Components, and Systems (FORTE 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14678))

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Abstract

Noninterference theory supports the analysis of secure computations in multi-level security systems. In the nondeterministic setting, the approach to noninterefence based on weak bisimilarity has turned out to be inadequate for reversible systems. This drawback can be overcome by employing a more expressive semantics, which has been recently proven to be branching bisimilarity. In this paper we extend the result to reversible systems that feature both nondeterminism and probabilities. We recast noninterference properties by adopting probabilistic variants of weak and branching bisimilarities. Then we investigate a taxonomy of those properties as well as their preservation and compositionality aspects, along with a comparison with the nondeterministic taxonomy. The adequacy of the resulting noninterference theory for reversible systems is illustrated via a probabilistic smart contract example.

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Acknowledgment

This research has been supported by the PRIN 2020 project NiRvAna – Noninterference and Reversibility Analysis in Private Blockchains.

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Authors and Affiliations

  1. Dipartimento di Scienze Pure e Applicate, Università di Urbino, Urbino, Italy

    Andrea Esposito, Alessandro Aldini & Marco Bernardo

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  1. Andrea Esposito
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  2. Alessandro Aldini
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  3. Marco Bernardo
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Correspondence to Andrea Esposito .

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Editors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, The Netherlands

    Valentina Castiglioni

  2. University of Malta, Msida, Malta

    Adrian Francalanza

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Esposito, A., Aldini, A., Bernardo, M. (2024). Noninterference Analysis of  Reversible Probabilistic Systems. In: Castiglioni, V., Francalanza, A. (eds) Formal Techniques for Distributed Objects, Components, and Systems. FORTE 2024. Lecture Notes in Computer Science, vol 14678. Springer, Cham. https://doi.org/10.1007/978-3-031-62645-6_3

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  • DOI: https://doi.org/10.1007/978-3-031-62645-6_3

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