Work

Kawa: An Abstract Language for Scalable and Variable Detection of Spectre Vulnerabilities

Year: 2024

Type: conference-paper

Abstract: Since the discovery of Spectre attacks, various detection methods for speculative vulnerabilities have been developed. Sound static analyses based on symbolic execution give precise results but lack scalability, while pattern-based analyses can accommodate large code bases but may be unsound and require manually crafted patterns for each microarchitecture. We introduce Kawa, an abstract language designed to model control and data flows, allowing efficient analysis of Spectre vulnerabilities. Kawa's abstract nature also enables interpretation as schemata to capture entire classes of concrete programs with speculative leaks.

Source: ACM SIGPLAN International Conference on Systems, Programming, Languages, and Applications: Software for Humanity (SPLASH)

DOI: 10.1145/3689491.3689971

Authors: Zheyuan Wu, Haoyi Zeng, Aaron Bies

Institution: Saarland University

Language: English

Topic: Security and Verification in Computing

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4403493279

FWCI:

Cites: 16

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Related to: 10