HackerPapers

arXiv:2103.15860cs.CR

Twine: An Embedded Trusted Runtime for WebAssembly

Jämes Ménétrey, Marcelo Pasin, Pascal Felber, Valerio Schiavoni

HN submission. Found in a submission link or body. Submitters do not count as commenters in the main ranking; a submission is not an endorsement.

Abstract

WebAssembly is an increasingly popular lightweight binary instruction format, which can be efficiently embedded and sandboxed. Languages like C, C++, Rust, Go, and many others can be compiled into WebAssembly. This paper describes Twine, a WebAssembly trusted runtime designed to execute unmodified, language-independent applications. We leverage Intel SGX to build the runtime environment without dealing with language-specific, complex APIs. While SGX hardware provides secure execution within the processor, Twine provides a secure, sandboxed software runtime nested within an SGX enclave, featuring a WebAssembly system interface (WASI) for compatibility with unmodified WebAssembly applications. We evaluate Twine with a large set of general-purpose benchmarks and real-world applications. In particular, we used Twine to implement a secure, trusted version of SQLite, a well-known full-fledged embeddable database. We believe that such a trusted database would be a reasonable component to build many larger application services. Our evaluation shows that SQLite can be fully executed inside an SGX enclave via WebAssembly and existing system interface, with similar average performance overheads. We estimate that the performance penalties measured are largely compensated by the additional security guarantees and its full compatibility with standard WebAssembly. An in-depth analysis of our results indicates that performance can be greatly improved by modifying some of the underlying libraries. We describe and implement one such modification in the paper, showing up to $4.1\times$ speedup. Twine is open-source, available at GitHub along with instructions to reproduce our experiments.

arXiv comments
This publication incorporates results from the VEDLIoT project, which received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 957197
Journal reference
ICDE'21: Proceedings of the 37th IEEE International Conference on Data Engineering, 2021, pp. 205-216
DOI
doi:10.1109/ICDE51399.2021.00025
Subjects
cs.CRCryptography and Security cs.DCDistributed, Parallel, and Cluster Computing cs.PFPerformance

On Hacker News

No comments linking this paper were found in the collected sources. Found in 1 HN submission from Sep 2021 to Sep 2021. Open submission discussions.

Comments linking this paper, per year.

Discussed in comments0 threads

No comments linking this paper were found in the collected sources. Open submission discussions.

Submitted to Hacker News

Connected through shared HN threads, not inferred similarity or a recommendation.