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Deploying Machine Learning in Distributed Sensing to Increase Resilience of Fiber Optic Infrastructure

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Abstract

We report a novel approach to the security of fiber optic infrastructures utilizing state of polarization analyzes or Mach-Zehnder interferometry and using supervised or unsupervised machine-learning models for unauthorized cable manipulation detection.

© 2023 The Author(s)

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