We introduce a mathematical framework for simulating Hybrid Boolean Network (HBN) Physically Unclonable Functions (PUFs, HBN-PUFs). We verify that the model is able to reproduce the experimentally observed PUF statistics for uniqueness $\mu_{inter}$ and reliability $\mu_{intra}$ obtained from experiments of HBN-PUFs on Cyclone V FPGAs. Our results suggest that the HBN-PUF is a true `strong' PUF in the sense that its security properties depend exponentially on both the manufacturing variation and the challenge-response space. Our Python simulation methods are open-source and available at https://github.com/Noeloikeau/networkm.
翻译：我们为模拟混合布尔网络(HBN)物理不协调功能(PUFs,HBN-PUFs)引入了一个数学框架,我们核实该模型能够复制从HBN-PUF关于气旋V FPGAs的实验中获得的实验性PUF数据独有的$\mu ⁇ inter}$和可靠性$\mu ⁇ intra}。我们的结果表明,HBN-PUF是一个真正的“强势”PUF, 因为它的安全性能指数取决于制造变异和挑战-反应空间。我们的Python模拟方法是开源的,可在https://github.com/Noeloikeau/netwom上查阅。
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