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

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Authors: Carlos Natalino, Flávia P. Monteiro, Paolo Monti
Cited by: 1
References: 6

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.

Fields of Study & Subjects

Software System Performance and Reliability Anomaly Detection Techniques and Applications Advanced Optical Network Technologies

Publication details

Journal / source
Optical Fiber Communication Conference (OFC) 2026
Publisher
Optica Publishing Group
Pages
M3A.2–M3A.2
Publication date
1 January 2026