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RustBelt: securing the foundations of the Rust programming language

Authors: Jung, Ralf; Jourdan, Jacques-Henri; Krebbers, Robbert; Dreyer, Derek;

RustBelt: securing the foundations of the Rust programming language

Abstract

Rust is a new systems programming language that promises to overcome the seemingly fundamental tradeoff between high-level safety guarantees and low-level control over resource management. Unfortunately, none of Rust's safety claims have been formally proven, and there is good reason to question whether they actually hold. Specifically, Rust employs a strong, ownership-based type system, but then extends the expressive power of this core type system through libraries that internally use unsafe features. In this paper, we give the first formal (and machine-checked) safety proof for a language representing a realistic subset of Rust. Our proof is extensible in the sense that, for each new Rust library that uses unsafe features, we can say what verification condition it must satisfy in order for it to be deemed a safe extension to the language. We have carried out this verification for some of the most important libraries that are used throughout the Rust ecosystem.

Keywords

logical relations, Separation logic, Programming logic, [INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO], Rust, [INFO.INFO-PF] Computer Science [cs]/Performance [cs.PF], type systems, Operational semantics, 005, concurrency, [INFO.INFO-PL] Computer Science [cs]/Programming Languages [cs.PL]

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    Top 0.1%
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    Top 1%
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visibility
download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
234
Top 0.1%
Top 1%
Top 1%
26
22
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Published in a Diamond OA journal