Eavesdropping G.652 vs. G.657 fibres: a performance comparison

Author:

Karlsson Stefan1,Lin Rui2,Wosinska Lena2,Monti Paolo2

Affiliation:

1. Swedish Defence Material Administration,FMV VO LedM,Linköping,Sweden

2. Chalmers University of Technology,Electrical Engineering,Göteborg,Sweden

Publisher

IEEE

Cited by 5 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. Fiber Eavesdropping Using Tapers in Standard and Trench-Assisted Single-Mode Fibers;IEEE Photonics Technology Letters;2024-08-01

2. Machine Learning Analysis of Polarization Signatures for Distinguishing Harmful from Non-harmful Fiber Events;2024 24th International Conference on Transparent Optical Networks (ICTON);2024-07-14

3. Machine Learning-Based Polarization Signature Analysis for Detection and Categorization of Eavesdropping and Harmful Events;Optical Fiber Communication Conference (OFC) 2024;2024

4. Eavesdropping Vulnerabilities in Optical Fiber Networks: Investigating Macro-Bending-Based Attacks Using Clip-on Couplers;2023 International Workshop on Fiber Optics on Access Networks (FOAN);2023-10-30

5. Detection of abnormal activities on a SM or MM fiber;2023 Optical Fiber Communications Conference and Exhibition (OFC);2023-03

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