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Low-cost optical fiber physical unclonable function reader based on a digitally integrated semiconductor LiDAR

机译:基于数字集成半导体LIDAR的低成本光纤物理不可渗透功能读卡器

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摘要

This paper introduces an integrated fiber physical unclonable function (PUF) verification system based on a semiconductor laser source at substantially lower complexity and cost than existing alternatives. A source sub-section consisting of a linear frequency-swept semiconductor laser is used in combination with an optical frequency domain reflectometry (OFDR)/LiDAR-based measurement sub-section in order to conduct fiber identification via measurement of the unique Rayleigh reflection pattern of a section of optical fiber. When using these Rayleigh reflection patterns as PUFs, this technique results in a maximum equal error rate (EER) of 0.15% for a 5-cm section of optical fiber and an EER of less than 1% for a 4-cm section. These results demonstrate that the system can serve as a robust method fiber identification for device and communication verification applications. (C) 2019 Optical Society of America
机译:本文介绍了一种基于半导体激光源的集成光纤物理不可渗透功能(PUF)验证系统,其复杂性大致较低,成本高于现有替代方案。 由线性频率扫描半导体激光器组成的源子部分与光学频域反射测量(OFDR)/ LIDAR的测量子部分组合使用,以便通过测量的独特瑞利反射模式进行光纤识别 光纤部分。 当使用这些瑞利反射模式作为PUFS时,该技术导致光纤5cm部分的最大相等误差率(eer)为0.15%,对于4cm部分,小于1%的eer。 这些结果表明,该系统可以用作设备和通信验证应用的鲁棒方法光纤识别。 (c)2019年光学学会

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