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WordRev: Finding word-level structures in a sea of bit-level gates

机译:WordRev:在位级盖茨的海上找到单词级结构

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Systems are increasingly being constructed from off-the-shelf components acquired through a globally distributed and untrusted supply chain. Often only post-synthesis gate-level netlists or actual silicons are available for security inspection. This makes reasoning about hardware trojans particularly challenging given the enormous scale of the problem. Currently, there is no mature methodology that can provide visibility into a bit-level design in terms of high-level components to allow more comprehensive analysis. In this paper, we present a systemic way of automatically deriving word-level structures from the gate-level netlist of a digital circuit. Our framework also provides the possibility for a user to specify sequences of word-level operations and it can extract the collection of gates corresponding to those operations. We demonstrate the effectiveness of our approach on a system-on-a-chip (SoC) design consisting of approximately 400,000 IBM 12SOI cells and several open-source designs.
机译:越来越多地由通过全球分布和不受信任的供应链获取的搁票组件构成的系统。通常只有合成后的门级网册或实际芯片可用于安全检查。这使得关于硬件特洛伊木马的推理尤其具有挑战性,鉴于巨大的问题。目前,在高级组件方面,没有成熟的方法可以在比特级设计中提供可见性,以允许更全面的分析。在本文中,我们介绍了一种自动从数字电路的栅极级网表中推导出词级结构的系统方法。我们的框架还提供了用户指定字级操作序列的可能性,并且它可以提取与这些操作相对应的栅极的集合。我们展示了我们对芯片系统(SOC)设计的方法的有效性,由大约400,000 IBM 12SOI细胞和几种开源设计组成。

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