English

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

Machine Learning 2023-09-27 v1 Cryptography and Security Machine Learning

Abstract

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.

Cite

@article{arxiv.2309.14541,
  title  = {Cluster-based Method for Eavesdropping Identification and Localization in Optical Links},
  author = {Haokun Song and Rui Lin and Andrea Sgambelluri and Filippo Cugini and Yajie Li and Jie Zhang and Paolo Monti},
  journal= {arXiv preprint arXiv:2309.14541},
  year   = {2023}
}

Comments

4 pages, 6 figures, Asia Communications and Photonics Conference (ACP) 2023

R2 v1 2026-06-28T12:32:12.912Z