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Register a new userA Bisimilarity Congruence for the Applied pi-Calculus Sufficiently Coarse to Verify Privacy Properties
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Added by
Ross Horne
Publication date
2018
fields
Informatics Engineering
and research's language is
English
Authors
Ross Horne
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This paper is the first thorough investigation into the coarsest notion of bisimilarity for the applied pi-calculus that is a congruence relation: open barbed bisimilarity. An open variant of labelled bisimilarity (quasi-open bisimilarity), better suited to constructing bisimulations, is proven to coincide with open barbed bisimilarity. These bisimilary congruences are shown to be characterised by an intuitionistic modal logic that can be used, for example, to describe an attack on privacy whenever a privacy property is violated. Open barbed bisimilarity provides a compositional approach to verifying cryptographic protocols, since properties proven can be reused in any context, including under input prefix. Furthermore, open barbed bisimilarity is sufficiently coarse for reasoning about security and privacy properties of cryptographic protocols; in constrast to the finer bisimilarity congruence, open bisimilarity, which cannot verify certain privacy properties.
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In the logic programming paradigm, it is difficult to develop an elegant solution for generating distinguishing formulae that witness the failure of open-bisimilarity between two pi-calculus processes; this was unexpected because the semantics of the pi-calculus and open bisimulation have already been elegantly specified in higher-order logic programming systems. Our solution using Haskell defines the formulae generation as a tree transformation from the forest of all nondeterministic bisimulation steps to a pair of distinguishing formulae. Thanks to laziness in Haskell, only the necessary paths demanded by the tree transformation function are generated. Our work demonstrates that Haskell and its libraries provide an attractive platform for symbolically analyzing equivalence properties of labeled transition systems in an environment sensitive setting.
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