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    • 2. 发明申请
    • ON CHIP ELECTRIC WAVES: AN ANALOG APPROACH TO PHYSICAL UNCLONABLE FUNCTIONS: PUF
    • 芯片电波:物理不可靠功能的模拟方法:PUF
    • WO2010105994A3
    • 2011-01-13
    • PCT/EP2010053234
    • 2010-03-12
    • UNIV MUENCHEN TECHRUEHRMAIR ULRICHSTUTZMANN MARTINCSABA GYOERGYSCHLICHTMANN ULFLUGLI PAOLO
    • RUEHRMAIR ULRICHSTUTZMANN MARTINCSABA GYOERGYSCHLICHTMANN ULFLUGLI PAOLO
    • H04L9/32
    • G06F21/10G06F21/31G06F21/73G06F2221/2103G06F2221/2129G09C1/00H04L9/3247H04L9/3278H04L2209/56H04L2209/603H04L2209/805
    • This application proposes the use of Cellular Non-Linear Networks (CNNs) as physical unclonable functions (PUFs). We argue that analogue circuits offer higher security than existing digital PUFs and that the CNN paradigm allows us to build large, unclonable, and scalable analogue PUFs, which still show a stable and repeatable input-output behaviour. CNNs are dynamical arrays of locally-interconnected cells, with a cell dynamics that depends upon the interconnection strengths to their neighbours. They can be designed to evolve in time according to partial differential equations. If this equation describes a physical phenomenon, then the CNN can simulate a complex physical system on-chip. This can be exploited to create electrical PUFs with high relevant structural information content. To illustrate our paradigm at work, we design a circuit that directly emulates nonlinear wave propagation phenomena in a random media. It effectively translates the complexity of optical PUFs into electrical circuits. This, leading to better practicality, while maintaining or even improving the security properties of their optical counterparts.
    • 该应用提出使用蜂窝非线性网络(CNN)作为物理不可克隆功能(PUF)。 我们认为,模拟电路提供比现有数字PUF更高的安全性,而CNN范式允许我们构建大型,不可克隆和可扩展的模拟PUF,这些PUF仍然显示稳定和可重复的输入输出行为。 CNN是本地互连的小区的动态阵列,其细胞动力学取决于与其邻居的互连强度。 它们可以被设计为根据偏微分方程在时间上进化。 如果这个方程描述了物理现象,那么CNN可以模拟片上复杂的物理系统。 这可以被利用来创建具有高相关结构信息内容的电气PUF。 为了说明我们在工作中的范例,我们设计了一种在随机介质中直接仿真非线性波传播现象的电路。 它有效地将光学PUF的复杂性转化为电路。 这导致更好的实用性,同时保持或甚至改善其光学对应物的安全性能。