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The influence on sensitivity of hardware Trojans detection by test vector

机译:测试向量对硬件木马检测灵敏度的影响

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Hardware Trojans have emerged as a new threat to the security of chip and the reliability of computing systems. As such, methods of determining whether a “security chip” contains hardware Trojans are a research concern. This study proposes power relative variation (PRV) parameters to analysis the relation between test vectors and detection sensitivity. Following a brief introduction into Trojans and detection methods, we present the S-box circuit noise model in AES core and simulate the power tracks of various sizes of hardware Trojans using HSPICE. We also apply different sets of test vectors in 40 nm processing. Experimental results show that the power of the entire circuit is reduced by 41% and the PRV value increased 12.71% and 3.34% at most corresponding to combinational and sequential Trojan circuits. The valid test vectors can enhance the activity of hardware Trojans. They can also limit the noise from process, supply voltage, and temperature and extrude the features from the Trojan circuit to increase PRV value. As a result, a sample amount can be compressed at a reduced cost given a similar detection effect. Hence, the investigation into the influence of test vectors on the detection methods of hardware Trojans based on side-channel analysis is extremely important.
机译:硬件木马已成为对芯片安全性和计算系统可靠性的新威胁。这样,确定“安全芯片”是否包含硬件木马的方法是研究关注的问题。这项研究提出了功率相对变化(PRV)参数,以分析测试向量与检测灵敏度之间的关系。在简要介绍木马和检测方法之后,我们介绍了AES内核中的S-box电路噪声模型,并使用HSPICE模拟了各种大小的硬件木马的功率轨迹。我们还在40 nm处理中应用了不同的测试向量集。实验结果表明,与组合式和顺序式特洛伊木马电路相比,整个电路的功耗最多降低了41%,PRV值最多增加了12.71%和3.34%。有效的测试向量可以增强硬件木马的活动。它们还可以限制来自过程,电源电压和温度的噪声,并从特洛伊木马电路中挤出功能以增加PRV值。结果,鉴于类似的检测效果,可以以降低的成本压缩样本量。因此,研究基于边信道分析的测试向量对硬件木马检测方法的影响极为重要。

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