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Hardware Trojan detection via current measurement: A method immune to process variation effects

机译:通过电流测量检测硬件木马:不受工艺变化影响的方法

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Malicious modification of integrated circuits referred to as Hardware Trojan fabricated in untrusted foundries pose a growing concern on reliable and security application. In order to ensure trusted in-filed operation of integrated circuits, many techniques are developed to authenticate Hardware Trojan often called trojan detection. Among these techniques side-channel signals analysis is a widely researched method to detect Hardware Trojan but suffer from sensitivity decreasing caused by increasing process variation effects. In this paper, we propose a non-invasive Hardware Trojan detection method which is immune to process variation effects. The method exploits the intrinsic relationship between transient current (I) and quiescent current (I) and I of different test vectors that can eliminate the effects of process variation. The proposed method is verified by Hspice simulation carried on ISCAS 85 benchmark circuit. The 100 times simulation results with 130nm CMOS process using Monte Carlo method show that the suggested methods are capable of detecting the Hardware Trojan whose equivalent area is as small as 10" of the total size of the circuit in the presence of ±7% parameter(threshold voltage) variations.
机译:在不受信任的铸造厂制造的集成电路的恶意修改,称为硬件特洛伊木马,对可靠性和安全性应用引起了越来越多的关注。为了确保集成电路的可靠运行,已开发了许多技术来鉴定通常称为木马检测的硬件木马。在这些技术中,边信道信号分析是检测硬件特洛伊木马的广泛研究方法,但由于工艺变化效应的增加而导致灵敏度下降。在本文中,我们提出了一种不受工艺变化影响的非侵入性硬件木马检测方法。该方法利用了瞬态电流(I)与静态电流(I)和不同测试向量的I之间的固有关系,可以消除过程变化的影响。通过在ISCAS 85基准电路上进行的Hspice仿真验证了该方法的有效性。使用蒙特卡罗方法在130nm CMOS工艺上进行的100次仿真结果表明,所提出的方法能够在±7%的参数存在下检测出等效电路板面积仅为电路总尺寸10“的硬件木马。阈值电压)变化。

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