Cartesian Reachability Logic: A Language-parametric Logic for Verifying k-Safety Properties

Varování

Publikace nespadá pod Ústav výpočetní techniky, ale pod Fakultu informatiky. Oficiální stránka publikace je na webu muni.cz.
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TUŠIL Jan SERBANUTA Traian OBDRŽÁLEK Jan

Rok publikování 2023
Druh Článek ve sborníku
Konference Proceedings of 24th International Conference on Logic for Programming, Artificial Intelligence and Reasoning
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
www https://easychair.org/publications/paper/8vTf
Doi http://dx.doi.org/10.29007/1874
Klíčová slova hyperproperties; k-safety; language-parametric; logic
Přiložené soubory
Popis We introduce a language-parametric calculus for k-safety verification - Cartesian Reachability logic (CRL). In recent years, formal verification of hyperproperties has become an important topic in the formal methods community. An interesting class of hyperproperties is known as k-safety properties, which express the absence of a bad k-tuple of execution traces. Many security policies, such as noninterference, and functional properties, such as commutativity, monotonicity, and transitivity, are k-safety properties. A prominent example of a logic that can reason about k-safety properties of software systems is Cartesian Hoare logic (CHL). However, CHL targets a specific, small imperative language. In order to use it for sound verification of programs in a different language, one needs to extend it with the desired features or hand-craft a translation. Both these approaches require a lot of tedious, error-prone work. Unlike CHL, CRL is language-parametric: it can be instantiated with an operational semantics (of a certain kind) of any deterministic language. Its soundness theorem is proved once and for all, with no need to adapt or re-prove it for different languages or their variants. This approach can significantly reduce the development costs of tools and techniques for sound k-safety verification of programs in deterministic languages: for example, of smart contracts written for EVM (the language powering the Ethereum blockchain), which already has an operational semantics serving as a reference.
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