Pre-silicon Embedded System Evaluation as New EDA Tool for Security Verification

Sofiane Takarabt, K. Chibani, A. Facon, S. Guilley, Y. Mathieu, L. Sauvage, Youssef Souissi
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引用次数: 6

Abstract

The security evaluation of embedded systems becomes clear and mandatory. Up today, the evaluation process is limited to certification labs that conduct the analysis on real target devices. This requires appropriate measurement platforms and equipment in addition to real chip analysis skills. In this paper, we put forward a pre-silicon evaluation methodology and tools that allow the security verification at an early stage (virtual target) and running it hands in hands with the functional verification. As of today, such approach can be used as new Electronic Design Automation (EDA) tool to properly satisfy the basics of Design for Security (DFS) concept. From a practical viewpoint, we show a study case to illustrate and provide a better understanding of that approach. Moreover, we propose new evaluation metrics based on Signal to Noise Ratio (SNR) computation, and verified on virtual and real targets respectively based on a comparative study. Likewise, the tool identifies vulnerabilites (thereby anticipating complete families of otherwise numerous, complex and many undiscovered attacks), and returns accurate feedack to the user on the precise line of code (LoC) where the vulnerability lays along with its characterization, including an identification of its severity. This allows the design to input source code to the tool, and to get back in return annotated source code with a collection of LoCs which deserve careful analysis and/or subsequent modification aiming at patching vulnerabilities.
预硅嵌入式系统评估作为新的EDA安全验证工具
嵌入式系统的安全评估变得清晰和强制性。到目前为止,评估过程仅限于对真实目标设备进行分析的认证实验室。这需要适当的测量平台和设备,以及真正的芯片分析技能。在本文中,我们提出了一种预硅评估方法和工具,允许在早期阶段(虚拟目标)进行安全验证,并将其与功能验证结合起来运行。到目前为止,这种方法可以用作新的电子设计自动化(EDA)工具,以适当地满足安全设计(DFS)概念的基础。从实际的角度来看,我们展示了一个研究案例来说明并提供对该方法的更好理解。在此基础上,提出了基于信噪比(SNR)计算的评价指标,并分别在虚拟目标和真实目标上进行了对比研究验证。同样,该工具可以识别漏洞(从而预测大量、复杂和许多未被发现的攻击的完整家族),并在漏洞所在的精确代码行(LoC)上向用户返回准确的反馈,包括对其严重性的识别。这允许设计将源代码输入到工具中,并返回带有loc集合的带注释的源代码,这些loc值得仔细分析和/或随后针对修补漏洞进行修改。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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