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Cluster-based Method for Eavesdropping Identification and Localization in Optical Links

arXiv 2309.14541 ↗First posted 25 Sep 2023stat.ML cs.CR cs.LGcited by 0

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Abstract (arXiv)

We propose a cluster-based method to detect and locate eavesdropping events in optical line systems characterized by small power losses. Our findings indicate that detecting such subtle losses from eavesdropping can be accomplished solely through optical performance monitoring (OPM) data collected at the receiver. On the other hand, the localization of such events can be effectively achieved by leveraging in-line OPM data.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 1 of its 15 references that are in the map. First posted on arXiv 25 Sep 2023.

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References · 1

  1. 2022Machine Learning-based Anomaly Detection in Optical Fiber Monitoringcited by 7

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