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Automated reasoning for equivalences in the applied pi calculus with barriers

机译:带有障碍的pi演算中的等价自动推理

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Observational equivalence allows us to study important security properties such as anonymity. Unfortunately, the difficulty of proving observational equivalence hinders analysis. Blanchet, Abadi & Fournet simplify its proof by introducing a sufficient condition for observational equivalence, called diff-equivalence, which is a reachability condition that can be proved automatically by ProVerif. However, diff-equivalence is a very strong condition, which often does not hold even if observational equivalence does. In particular, when proving equivalence between processes that contain several parallel components, e.g., P∣Q and P′∣Q′, diff-equivalence requires that P is equivalent to P′ and Q is equivalent to Q′. To relax this constraint, Delaune, Ryan & Smyth introduced the idea of swapping data between parallel processes P′ and Q′ at synchronisation points, without proving its soundness. We extend their work by formalising the semantics of synchronisation, formalising the definition of swapping, and proving its soundness. We also relax some restrictions they had on the processes to which swapping can be applied. Moreover, we have implemented our results in ProVerif. Hence, we extend the class of equivalences that can be proved automatically. We showcase our results by analysing privacy in election schemes by Fujioka, Okamoto & Ohta, Lee et al., and Juels, Catalano & Jakobsson, and in the vehicular ad-hoc network by Freudiger et al.
机译:观察等效性使我们能够研究重要的安全性,例如匿名性。不幸的是,证明观测等效性的困难阻碍了分析。 Blanchet,Abadi和Fournet通过引入称为diff-equivalence的观察等效性的充分条件简化了证明,这是ProVerif可以自动证明的可达性条件。但是,diff-equivalence是一个非常强的条件,即使观察等价的情况也常常不成立。特别地,当证明包含几个并行分量(例如,P∣Q和P'∣Q')的过程之间的等效性时,差分等效性要求P等于P'并且Q等于Q'。为了放松这种约束,Delaune,Ryan和Smyth提出了在同步点的并行进程P'和Q'之间交换数据的想法,而没有证明其合理性。我们通过形式化同步的语义,形式化交换的定义并证明其合理性来扩展他们的工作。我们还放宽了他们对可应用交换过程的限制。此外,我们已经在ProVerif中实现了我们的结果。因此,我们扩展了可以自动证明的等价类。我们通过分析Fujioka,Okamoto和Ohta,Lee等人以及Juels,Catalano和Jakobsson的选举方案中的隐私权,以及Freudiger等人的车辆自组织网络中的隐私来展示我们的结果。

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