A Unified Siamese Learning Framework for Zero-Day Anomaly Detection and Classification in Optical Networks
Paper i proceeding, 2026

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.

Författare

Carlos Natalino Da Silva

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

Flávia P. Monteiro

Universidade Federal do Oeste do Pará (UFOPA)

Paolo Monti

Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk

2026 Optical Fiber Communications Conference and Exhibition Ofc 2026 Proceedings


9781957171548 (ISBN)

2026 Optical Fiber Communications Conference and Exhibition, OFC 2026
Los Angeles, USA,

Ämneskategorier (SSIF 2025)

Datavetenskap (datalogi)

DOI

10.1364/OFC.2026.M3A.2

Mer information

Senast uppdaterat

2026-06-29