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

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.