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arXiv · 2307.11884

Augmented Symbolic Execution for Information Flow in Hardware Designs

Kaki Ryan·Matthew Gregoire·Cynthia Sturton
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Abstract

We present SEIF, a methodology that combines static analysis with symbolic execution to verify and explicate information flow paths in a hardware design. SEIF begins with a statically built model of the information flow through a design and uses guided symbolic execution to recognize and eliminate non-flows with high precision or to find corresponding paths through the design state for true flows. We evaluate SEIF on two open-source CPUs, an AES core, and the AKER access control module. SEIF can exhaustively explore 10-12 clock cycles deep in 4-6 seconds on average, and can automatically account for 86-90% of the paths in the statically built model. Additionally, SEIF can be used to find multiple violating paths for security properties, providing a new angle for security verification.

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Kaki Ryan, Matthew Gregoire, Cynthia Sturton. 2023-07-31. Augmented Symbolic Execution for Information Flow in Hardware Designs. https://arxiv.org/abs/2307.11884

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