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Advancing the State-of-the-Art in Hardware Trojans Detection

机译:推进硬件木马检测的最新技术

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摘要

Over the past decade, Hardware Trojans (HTs) research community has made significant progress towards developing effective countermeasures for various types of HTs, yet these countermeasures are shown to be circumvented by sophisticated HTs designed subsequently. Therefore, instead of guaranteeing a certain (low) false negative rate for a small constant set of publicly known HTs, a rigorous security framework of HTs should provide an effective algorithm to detect any HT from an exponentially large class (exponential in number of wires in IP core) of HTs with negligible false negative rate. In this work, we present HaTCh, the first rigorous algorithm of HT detection within the paradigm of pre-silicon logic testing based tools. HaTCh detects any HT from H-D, a huge class of deterministic HTs which is orders of magnitude larger than the small subclass (e.g., TrustHub) considered in the current literature. We prove that HaTCh offers negligible false negative rate and controllable false positive rate for the class H-D. Given certain global characteristics regarding the stealthiness of the HT within H-D, the computational complexity of HaTCh for practical HTs scales polynomially with the number of wires in the IP core. We implement and test HaTCh on TrustHub and other sophisticated HTs.
机译:在过去的十年中,硬件木马(HT)研究团体在开发针对各种类型HT的有效对策方面取得了重大进展,但是这些对策已被随后设计的复杂HT所规避。因此,代替为一小组恒定的已知HT保证一定的(低)假阴性率,严格的HT安全框架应该提供一种有效的算法,以检测指数级大类中的任何HT( HT的IP核心)的误报率可以忽略不计。在这项工作中,我们介绍了HaTCh,这是基于硅逻辑测试的工具范式中的HT检测的第一种严格的算法。 HaTCh从H-D中检测到任何HT,这是一类确定性HT,比当前文献中考虑的小子类(例如TrustHub)大几个数量级。我们证明HaTCh为H-D类提供了可忽略的假阴性率和可控的假阳性率。给定有关H-D中HT隐身性的某些全局特性,针对实际HT的HaTCh的计算复杂度将随着IP核心中的导线数量成倍增长。我们在TrustHub和其他复杂的HT上实施和测试HaTCh。

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