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Real-Time Rogue ONU Identification with 1D-CNN-based Optical Spectrum Analysis for Secure PON

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Abstract

We proposed a real-time optical spectrum analysis method with one-dimensional convolutional neural network to identify rogue ONUs in PON. Experimental results show that 100% rogue ONU identification accuracy is achieved within 12.6 milliseconds on average.

© 2019 The Author(s)

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