Confidential Detection of Multiple Failures in Optical Networks: an Experimental Evaluation

M. F. Silva,A. Sgambelluri,A. Pacini,F. Paolucci, A. Green,D. Mascarenas,L. Valcarenghi

OFC（2023）

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摘要

This paper presents a Machine Learning technique based on Principal Component Analysis (PCA) combined with telemetry data scrambling to detect multiple types of failure in optical networks while preserving data confidentiality. Experiments in an optical testbed show the effectiveness of the proposed solution.

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关键词

data confidentiality,failure confidential detection,machine learning technique,optical networks,PCA,principal component analysis,telemetry data

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