度量很重要:测量电子产品信任的艺术

Jonathan Cruz, P. Mishra, S. Bhunia
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引用次数: 8

摘要

电子硬件信任是半导体行业所有利益相关者关注的新兴问题。电子硬件的信任问题跨越其生命周期的所有阶段——从知识产权(IP)模块的创建到硬件组件的制造、测试和部署,以及所有抽象级别——从芯片到印刷电路板(pcb)再到系统。信任问题源于水平业务模型,该模型促进了对硬件生命周期中不受信任的第三方设施、工具和ip的依赖。如今,设计人员的任务是在将第三方ip整合到片上系统(SoC)设计之前验证其完整性。现有的信任度量框架适用性有限,因为它们不够全面。它们只能捕获漏洞的一个子集,例如通过设计错误和CAD工具引入的潜在漏洞,或者量化针对特定木马模型的设计中的特征。因此,目前的做法是对IP核进行临时安全分析。在本文中,我们提出了一种基于向量的综合覆盖度量,该度量可以量化考虑漏洞和直接恶意修改的IP的总体信任。我们使用设计的功能覆盖、结构覆盖和资产覆盖的可变加权和来评估知识产权的完整性。设计师还可以有效地使用我们的信任指标来比较功能相同的第三方ip的相对可信度。为了证明所提议度量的适用性和有用性,我们将信任度量用于IP的无木马和插入木马的变体。我们的结果表明,我们能够成功区分可信和不可信的ip。
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The Metric Matters: The Art of Measuring Trust in Electronics
Electronic hardware trust is an emerging concern for all stakeholders in the semiconductor industry. Trust issues in electronic hardware span all stages of its life cycle - from creation of intellectual property (IP) blocks to manufacturing, test and deployment of hardware components and all abstraction levels - from chips to printed circuit boards (PCBs) to systems. The trust issues originate from a horizontal business model that promotes reliance of third-party untrusted facilities, tools, and IPs in the hardware life cycle. Today, designers are tasked with verifying the integrity of third-party IPs before incorporating them into system-on-chip (SoC) designs. Existing trust metric frameworks have limited applicability since they are not comprehensive. They capture only a subset of vulnerabilities such as potential vulnerabilities introduced through design mistakes and CAD tools, or quantify features in a design that target a particular Trojan model. Therefore, current practice uses ad-hoc security analysis of IP cores. In this paper, we propose a vector-based comprehensive coverage metric that quantifies the overall trust of an IP considering both vulnerabilities and direct malicious modifications. We use a variable weighted sum of a design's functional coverage, structural coverage, and asset coverage to assess an IP's integrity. Designers can also effectively use our trust metric to compare the relative trustworthiness of functionally equivalent third-party IPs. To demonstrate the applicability and usefulness of the proposed metric, we utilize our trust metric on Trojan-free and Trojan-inserted variants of an IP. Our results demonstrate that we are able to successfully distinguish between trusted and untrusted IPs.
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