Parallel Maude-NPA for Cryptographic Protocol Analysis

[EN] Maude-NPA is a formal verification tool for analyzing cryptographic protocols in the Dolev-Yao strand space model modulo an equational theory defining the cryptographic primitives. It starts from an attack state to find counterexamples or conclude that the attack concerned cannot be conducted b...

ver descrição completa

Detalhes bibliográficos
Autores: Do, Canh Minh, Riesco, Adrian, Ogata, Kazuhiro, Escobar Román, Santiago|||0000-0002-3550-4781
Formato: artículo
Fecha de publicación:2025
País:España
Recursos:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:dnet:riunet______::d5b97f0920812d5b95dc0d1cb37b2b81
Acesso em linha:https://riunet.upv.es/handle/10251/233529
Access Level:acceso abierto
Palavra-chave:Meta-interpreters
Maude
Master-worker model
Parallel maude-NPA
Cryptographic protocol analysis
Descrição
Resumo:[EN] Maude-NPA is a formal verification tool for analyzing cryptographic protocols in the Dolev-Yao strand space model modulo an equational theory defining the cryptographic primitives. It starts from an attack state to find counterexamples or conclude that the attack concerned cannot be conducted by performing a backward narrowing reachability analysis. Although Maude-NPA is a powerful analyzer, its running performance can be improved by taking advantage of parallel and/or distributed computing when dealing with complex protocols whose state space is huge. This paper describes a parallel version of Maude-NPA in which the backward narrowing and the transition subsumption at each layer in Maude-NPA are conducted in parallel. A tool supporting the parallel version has been implemented in Maude with a master-worker model using meta-interpreters. We report on some experiments of various kinds of protocols that demonstrate that the tool can increase the running performance of Maude-NPA by 52% on average for complex case studies in which the number of states located at each layer is considerably large.