A Unified Siamese Learning Framework for Zero-Day Anomaly Detection and Classification in Optical Networks

Abstract

A multi-similarity Siamese neural network unifies zero-day anomaly detection and one-shot classification in optical networks, achieving over 99% accuracy and instant adaptability across lightpaths and unseen anomaly types without any retraining.

Authors' version of the manuscript accepted and published at the Optical Fiber Communication Conference (OFC) 2026. 4 pages, 3 figures