A Unified Siamese Learning Framework for Zero-Day Anomaly Detection and Classification in Optical Networks (arxiv.org)
arXiv:2606.10827v1 Announce Type: cross
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.
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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