SoftFlow: Automated HW-SW Confidentiality Verification for Embedded Processors
IFIP/IEEE International Conference on Very Large Scale Integration, pp. 1–6
Abstract
Despite its ever-increasing impact, security is not considered as a design objective in commercial electronic design automation (EDA) tools. This results in vulnerabilities being overlooked during the software-hardware design process. Specifically, vulnerabilities that allow leakage of sensitive data might stay unnoticed by standard testing, as the leakage itself might not result in evident functional changes. Therefore, EDA tools are needed to elaborate the confidentiality of sensitive data during the design process. However, state-of-the-art implementations either solely consider the hardware or restrict the expressiveness of the security properties that must be proven. Consequently, more proficient tools are required to assist in the software and hardware design. To address this issue, we propose SoftFlow, an EDA tool that allows determining whether a given software exploits existing leakage paths in hardware. Based on our analysis, the leakage paths can be retained if proven not to be exploited by software. This is desirable if the removal significantly impacts the design’s performance or functionality, or if the path cannot be removed as the chip is already manufactured. We demonstrate the feasibility of SoftFlow by identifying vulnerabilities in OpenSSL cryptographic C programs, and redesigning them to avoid leakage of cryptographic keys in a RISC-V architecture.
Authors 5
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Lennart M. Reimann Aachen
Affiliation as printed
RWTH Aachen University,Germany
RWTH Aachen University, Germany
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Jonathan Wiesner Aachen
Affiliation as printed
RWTH Aachen University,Germany
RWTH Aachen University, Germany
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Affiliation as printed
Robert Bosch GmbH,Corporate Research,Germany
Corporate Research, Robert Bosch GmbH, Germany
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Affiliation as printed
Newcastle University,UK
Newcastle University, UK
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Rainer Leupers Aachen
Affiliation as printed
RWTH Aachen University,Germany
RWTH Aachen University, Germany
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