A Unified Siamese Learning Framework for Zero-Day Anomaly Detection and Classification in Optical Networks
Carlos Natalino, Flávia P. Monteiro, Paolo Monti
cs.NI cs.AI
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.
Topics
Classified with taxonomy v2 on Wed, 2 Sept 2026.