Golden Gates: A New Hybrid Approach for Rapid Hardware Trojan Detection using Testing and Imaging

Qihang Shi, Nidish Vashistha, Hangwei Lu, Haoting Shen, Bahar Tehranipoor, D. Woodard, N. Asadizanjani
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引用次数: 17

Abstract

Hardware Trojans are malicious modifications on integrated circuits (IC), which pose a grave threat to the security of modern military and commercial systems. Existing methods of detecting hardware Trojans are plagued by the inability of detecting all Trojans, reliance on golden chip that might not be available, high time cost, and low accuracy. In this paper, we present Golden Gates, a novel detection method designed to achieve a comparable level of accuracy to full reverse engineering, yet paying only a fraction of its cost in time. The proposed method inserts golden gate circuits (GGC) to achieve superlative accuracy in the classification of all existing gate footprints using rapid scanning electron microscopy (SEM) and backside ultra thinning. Possible attacks against GGC as well as malicious modifications on interconnect layers are discussed and addressed with secure built-in exhaustive test infrastructure. Evaluation with real SEM images demonstrate high classification accuracy and resistance to attacks of the proposed technique.
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金门:一种基于测试和成像的快速硬件木马检测新方法
硬件木马是针对集成电路(IC)的恶意修改,对现代军事和商业系统的安全构成严重威胁。现有的硬件木马检测方法存在无法检测全部木马、依赖可能无法获得的黄金芯片、时间成本高、准确率低等问题。在本文中,我们提出了一种新的检测方法Golden Gates,该方法旨在达到与完全逆向工程相当的精度水平,但在时间上只付出其成本的一小部分。该方法插入金门电路(GGC),利用快速扫描电子显微镜(SEM)和背面超细化技术对所有现有的栅极足迹进行分类,达到最高的精度。讨论了针对GGC的可能攻击以及对互连层的恶意修改,并通过安全的内置详尽测试基础设施解决了这些问题。用真实的扫描电镜图像进行评估,表明该方法具有较高的分类精度和抗攻击能力。
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