Resilient Anomaly Detection in Fiber-Optic Networks: A Machine Learning Framework for Multi-Threat Identification Using State-of-Polarization Monitoring.

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Resilient Anomaly Detection in Fiber-Optic Networks: A Machine Learning Framework for Multi-Threat Identification Using State-of-Polarization Monitoring.

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  • December 17, 2025
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This project has received funding from the European Union’s Horizon Europe research and innovation programme under the Marie Skłodowska-Curie Doctoral Network (MSCA-DN) NESTOR, Grant Agreement No. 101119983.

May 2026
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