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arXiv · 2606.10827

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

Carlos Natalino·Flávia P. Monteiro·Paolo Monti
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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.

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Carlos Natalino, Flávia P. Monteiro, Paolo Monti. 2026-06-09. A Unified Siamese Learning Framework for Zero-Day Anomaly Detection and Classification in Optical Networks. https://doi.org/10.1364/ofc.2026.m3a.2

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