A Hardware Trojan Detection Method Based on Compression Marginal Fisher Analysis
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摘要: 针对物理环境下旁路分析技术对电路中规模较小的硬件木马检出率低的问题，该文引入边界Fisher分析(MFA)方法，并提出一种基于压缩边界Fisher分析(CMFA)的硬件木马检测方法。通过减小样本的同类近邻样本与该样本以及类中心之间距离和增大类中心的同类近邻样本与异类样本之间距离的方式，构建投影空间，发现原始功耗旁路信号中的差异特征，实现硬件木马检测。AES加密电路中的硬件木马检测实验表明，该方法具有比已有检测方法更高的检测精度，能够检测出占原始电路规模0.04%的硬件木马。
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关键词:
- 硬件木马检测 /
- 集成电路 /
- 旁路分析 /
- 流形学习 /
- 边界Fisher分析
Abstract: Against the problem of low detection rate to detect small hardware Trojan by side-channel in physical environment, the Marginal Fisher Analysis (MFA) is introduced. On the basis, a hardware Trojan detection method based on Compression Marginal Fisher Analysis (CMFA) is proposed. The projection space is constructed by reducing the distance between the sample and its same neighbor samples, and the distance between the same neighbor samples and the center of the same kind, and increasing the distance between the same neighbor samples of the center and the sample in different kind. Thus, the difference in the original data is found without any assumptions about data distribution, and the detection of hardware Trojan is achieved. The hardware Trojan detection experiment in AES encryption circuit shows that this method can effectively distinguish the statistical difference in side-channel signal between reference chip and Trojan chip and detect the hardware Trojan whose scale is 0.04% of the original circuit. -
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