Linear capabilities for fully abstract compilation of separation-logic-verified code

Author:

VAN STRYDONCK THOMASORCID,PIESSENS FRANK,DEVRIESE DOMINIQUEORCID

Abstract

Abstract Separation logic is a powerful program logic for the static modular verification of imperative programs. However, dynamic checking of separation logic contracts on the boundaries between verified and untrusted modules is hard because it requires one to enforce (among other things) that outcalls from a verified to an untrusted module do not access memory resources currently owned by the verified module. This paper proposes an approach to dynamic contract checking by relying on support for capabilities, a well-studied form of unforgeable memory pointers that enables fine-grained, efficient memory access control. More specifically, we rely on a form of capabilities called linear capabilities for which the hardware enforces that they cannot be copied. We formalize our approach as a fully abstract compiler from a statically verified source language to an unverified target language with support for linear capabilities. The key insight behind our compiler is that memory resources described by spatial separation logic predicates can be represented at run time by linear capabilities. The compiler is separation-logic-proof-directed: it uses the separation logic proof of the source program to determine how memory accesses in the source program should be compiled to linear capability accesses in the target program. The full abstraction property of the compiler essentially guarantees that compiled verified modules can interact with untrusted target language modules as if they were compiled from verified code as well. This article is an extended version of one that was presented at ICFP 2019 (Van Strydonck et al., 2019).

Publisher

Cambridge University Press (CUP)

Subject

Software

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Securing Verified IO Programs Against Unverified Code in F*;Proceedings of the ACM on Programming Languages;2024-01-05

2. Summary-Based Compositional Analysis for Soft Contract Verification;2022 IEEE 22nd International Working Conference on Source Code Analysis and Manipulation (SCAM);2022-10

3. Le temps des cerises: efficient temporal stack safety on capability machines using directed capabilities;Proceedings of the ACM on Programming Languages;2022-04-29

4. Verified Security for the Morello Capability-enhanced Prototype Arm Architecture;Programming Languages and Systems;2022

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