Multi-intensity Bending Eavesdropping Detection and Identification Scheme Based on the State of Polarization-Reference-Cited by-同舟云学术

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Multi-intensity Bending Eavesdropping Detection and Identification Scheme Based on the State of Polarization

Published:2023-07-02 Issue: Volume: Page:
ISSN:
Container-title:2023 Opto-Electronics and Communications Conference (OECC)
language:
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Author:

Lei Qing¹,Li Yajie¹,Song Haokun¹,Wang Wei¹,Zhao Yongli¹,Zhang Jie¹,Liu Yongyuan²

Affiliation:

1. Beijing University of Posts and Telecommunications,Beijing,China,100876

2. Beitsing Communications Technology Co., Ltd.,Beijing,China,100088

Funder

Soochow University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10209604/10209571/10209623.pdf?arnumber=10209623

Reference11 articles.

1. Monitoring and diagnostic technologies using deep neural networks for predictive optical network maintenance [Invited]

2. Implementing and testing a fiber-optic polarization-based intrusion detection system

3. Experimental Study of Machine-Learning-Based Detection and Identification of Physical-Layer Attacks in Optical Networks

4. Fiber Link Anomaly Detection and Estimation Based on Signal Nonlinearity

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cluster-based unsupervised method for eavesdropping detection and localization in WDM systems;Journal of Optical Communications and Networking;2024-09-13

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