Anomaly Detection is a technique used in data analysis to identify patterns, events, or observations that deviate significantly from the expected behavior within a dataset. These anomalies, also known as outliers, abnormalities, or novelties, may indicate potential problems, errors, or interesting phenomena in the data.

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Optical Network Anomaly Detection and Localization Based on Forward Transmission Sensing and Route Optimization

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We introduce a novel scheme to detect and localize optical network anomaly using forward transmission sensing, and develop a heuristic algorithm to optimize the route selection. The performance is verified via simulations and network experiments.

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