FastPath: A Hybrid Approach for Efficient Hardware Security Verification

Many verification methods have been proposed to detect microarchitectural information leakage in response to the surge of security breaches in hardware designs. These sophisticated efforts have gone a long way toward preventing attackers from breaking the system’s confidentiality. However, each approach has its own set of weaknesses: it may not be scalable enough, exhaustive enough, flexible enough to meet changing requirements or fit well into existing verification flows. We propose FastPath, a hybrid verification methodology that combines the efficiency of simulation with the exhaustive nature of formal verification. FastPath employs a structural analysis framework to automate the method further. Our experimental results compare FastPath to a state-of-the-art formal approach, showing a significant reduction in manual effort while achieving the same level of exhaustive confidence. We also discovered and contributed a fix for a previously unknown leak of internal operands in cv32e40s, a RISC-V processor intended for security applications.

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Publication Details

Published
2025-06-22
DOI
https://doi.org/10.1109/dac63849.2025.11132905
Primary Topic
Physical Unclonable Functions (PUFs) and Hardware Security
Type
article
Field-Weighted Citation Impact
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FastPath: A Hybrid Approach for Efficient Hardware Security Verification

Dominik Stoffel, Andres Meza, Wolfgang Kunz, Lucas Deutschmann et al.
Physical Unclonable Functions (PUFs) and Hardware Security
article

FastPath: A Hybrid Approach for Efficient Hardware Security Verification

Dominik Stoffel, Andres Meza, Wolfgang Kunz, Lucas Deutschmann, Ryan Kastner Rptu
article en

Abstract

Many verification methods have been proposed to detect microarchitectural information leakage in response to the surge of security breaches in hardware designs. These sophisticated efforts have gone a long way toward preventing attackers from breaking the system’s confidentiality. However, each approach has its own set of weaknesses: it may not be scalable enough, exhaustive enough, flexible enough to meet changing requirements or fit well into existing verification flows. We propose FastPath, a hybrid verification methodology that combines the efficiency of simulation with the exhaustive nature of formal verification. FastPath employs a structural analysis framework to automate the method further. Our experimental results compare FastPath to a state-of-the-art formal approach, showing a significant reduction in manual effort while achieving the same level of exhaustive confidence. We also discovered and contributed a fix for a previously unknown leak of internal operands in cv32e40s, a RISC-V processor intended for security applications.

UC San Diego Health System (US), Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (DE)
Openalex Percentile: Top 73%
Physical Unclonable Functions (PUFs) and Hardware Security
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