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An Effective and Sensitive Scan Segmentation Technique for Detecting Hardware Trojan

机译:一种有效灵敏的扫描分割技术,用于检测硬件木马

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摘要

Due to outsourcing of numerous stages of the IC manufacturing process to different foundries, the security risk, such as hardware Trojan becomes a potential threat. In this paper, we present a layout aware localized hardware Trojan detection method that magnifies the detection sensitivity for small Trojan in power-based side-channel analysis. A scan segmentation approach with a modified launch-on-capture (LoC) transition delay fault test pattern application technique is proposed so as to maximize the dynamic power consumption of any target region. The new architecture allows activating any target region and keeping others quiet, which reduces total circuit toggling activity. We evaluate our approach on ISCAS89 benchmark and two practical circuits to demonstrate its effectiveness in side-channel analysis.
机译:由于将IC制造过程的多个阶段外包给不同的代工厂,因此安全风险(例如硬件Trojan)成为潜在的威胁。在本文中,我们提出了一种布局感知的本地化硬件木马检测方法,该方法在基于功率的边信道分析中放大了小木马的检测灵敏度。提出了一种具有改进的捕获启动过渡延迟故障测试模式应用技术的扫描分割方法,以最大化任何目标区域的动态功耗。新架构允许激活任何目标区域并使其他区域保持安静,从而减少了总的电路切换活动。我们评估了我们在ISCAS89基准测试方法和两个实际电路中的方法,以证明其在边通道分析中的有效性。

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