A range proof scheme analysis for the Mimblewimble cryptocurrency protocol

Silveira, Adrián; Betarte, Gustavo; Cristiá, Maximiliano; Luna, Carlos

doi:10.1109/urucon53396.2021.9647414

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Cryptocurrency Software As Critical Systems -Related Work1

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2021

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“…Additionally, Metere and Dong [30] present a mechanized formal verification of the Pedersen commitment protocol using EasyCrypt [31] and Fuchsbaue et al [32] introduce an abstraction for the analysis of some security properties of the MimbleWimble cryptocurrency protocol [33,34]. Finally, Betarte et al [35,36,37] present formal properties and outline the basis of a model-driven verification approach to address the certification of the correctness of implementations of MimbleWimble.…”

Section: Cryptocurrency Software As Critical Systems -Related Workmentioning

confidence: 99%

Set-Based Models for Cryptocurrency Software

Betarte¹,

Cristiá

Luna³

et al. 2021

CLEIej

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Formal methods (FM) are mathematics-based software development methods aimed at producing ``code for a nuclear power reactor''. That is, due application of FM can produce bug-free, zero-defect, correct-by-construction, guaranteed, certified software. However, the software industry seldom use FM. One of the main reasons for such a situation is that there exists the perception (which might well be a fact) that FM increase software costs. On the other hand, FM can be partially applied thus producing high-quality software, although not necessarily bug-free. In this paper we outline some FM related techniques whose application the cryptocurrency community should take into consideration because they could bridge the gap between ``loose web code'' and ``code for a nuclear power reactor''. We include relevant case studies in the area of cryptocurrency.

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