Hybrid Security and Fault Detection in Short-Haul Fiber Links: Integrating Wave Equation Inversion with 5σ Backscatter Analysis
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| Format: | Recurso digital |
| Language: | English |
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Zenodo
2025
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| _version_ | 1866901668337025024 |
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| author | Ben Hador, Ronen |
| author_facet | Ben Hador, Ronen |
| contents | <p>Modern data center and metropolitan area networks (MANs) utilize dense, short-haul fiber<br>segments where traditional Optical Time-Domain Reflectometry (OTDR) is severely<br>limited by pulse overlap, inherent noise (CRN), and ambiguity from multiple reflections.<br>This ambiguity renders conventional fault detection and, critically, security monitoring,<br>unreliable. This work presents a novel, hybrid methodology to resolve these challenges,<br>delivering high-fidelity, autonomous fiber monitoring.The core of the solution is a<br>two-branch system. The first branch utilizes a Wave Equation Inversion (WEI) kernel to<br>model and invert the complex, overlapping backscatter signal, enabling the unambiguous,<br>high-resolution mapping of the fiber’s true reflectivity profile, κ(z). The second branch<br>introduces a rigorous statistical α(z) detection scheme that applies a 5σ threshold to the<br>localized backscatter decay parameter to identify sub-threshold attenuation events<br>characteristic of stealthy, non-reflective fiber taps.The entire architecture is integrated into<br>an autonomous system powered by Physics-Informed Neural Networks (PINNs) for<br>real-time data ingestion and processing, with results delivered to an LLM-based RAG<br>system for diagnostic and prescriptive maintenance output. This approach transforms<br>fiber monitoring from a signal processing problem into an interpretable, mathematically rigorous, and deployable security solution</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18007745 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Hybrid Security and Fault Detection in Short-Haul Fiber Links: Integrating Wave Equation Inversion with 5σ Backscatter Analysis Ben Hador, Ronen Fiber Optic Security RBH Technologies Wave Equation Inversion Backscatter Analysis Autonomous Monitoring <p>Modern data center and metropolitan area networks (MANs) utilize dense, short-haul fiber<br>segments where traditional Optical Time-Domain Reflectometry (OTDR) is severely<br>limited by pulse overlap, inherent noise (CRN), and ambiguity from multiple reflections.<br>This ambiguity renders conventional fault detection and, critically, security monitoring,<br>unreliable. This work presents a novel, hybrid methodology to resolve these challenges,<br>delivering high-fidelity, autonomous fiber monitoring.The core of the solution is a<br>two-branch system. The first branch utilizes a Wave Equation Inversion (WEI) kernel to<br>model and invert the complex, overlapping backscatter signal, enabling the unambiguous,<br>high-resolution mapping of the fiber’s true reflectivity profile, κ(z). The second branch<br>introduces a rigorous statistical α(z) detection scheme that applies a 5σ threshold to the<br>localized backscatter decay parameter to identify sub-threshold attenuation events<br>characteristic of stealthy, non-reflective fiber taps.The entire architecture is integrated into<br>an autonomous system powered by Physics-Informed Neural Networks (PINNs) for<br>real-time data ingestion and processing, with results delivered to an LLM-based RAG<br>system for diagnostic and prescriptive maintenance output. This approach transforms<br>fiber monitoring from a signal processing problem into an interpretable, mathematically rigorous, and deployable security solution</p> |
| title | Hybrid Security and Fault Detection in Short-Haul Fiber Links: Integrating Wave Equation Inversion with 5σ Backscatter Analysis |
| topic | Fiber Optic Security RBH Technologies Wave Equation Inversion Backscatter Analysis Autonomous Monitoring |
| url | https://doi.org/10.5281/zenodo.18007745 |