Threat Classification on Deployed Optical Networks Using MIMO Digital Fiber Sensing, Wavelets, and Machine Learning

2024/09/05 by Khouloud Abdelli, Henrique Pavani, Abdelli, Khouloud +11
Computer Science · Biochemistry, Genetics and Molecular Biology · #Network Security and Intrusion Detection #Spectroscopy Techniques in Biomedical and Chemical Research #Neural Networks and Reservoir Computing

paper · pdf · doi:10.48550/arxiv.2409.03667

Abstract

We demonstrate mechanical threats classification including jackhammers and excavators, leveraging wavelet transform of MIMO-DFS output data across a 57-km operational network link. Our machine learning framework incorporates transfer learning and shows 93% classification accuracy from field data, with benefits for optical network supervision.

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