Enhancing fiber security using a simple state of polarization analyzer and machine learning
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F23%3APU148264" target="_blank" >RIV/00216305:26220/23:PU148264 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0030399223005613" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0030399223005613</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.optlastec.2023.109668" target="_blank" >10.1016/j.optlastec.2023.109668</a>
Alternative languages
Result language
angličtina
Original language name
Enhancing fiber security using a simple state of polarization analyzer and machine learning
Original language description
The paper focuses on the security of fiber-optic cable infrastructures by detecting vibrations using an optical state of polarization analyzer. The developed system can detect various security breaches. The system only detects abnormal events without any event classification. The proposed system relies on an analyzer evaluating optical polarization differences caused by mechanical or acoustic vibrations analyzed by a machine-learning model for real-time anomaly detection. The main goal of experiments is to find the best combination of the normalization method and anomaly detector. The proposed system achieves an F1-score over 95.65%, which proves the solution’s suitability for protecting fiber-optic infrastructures.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20203 - Telecommunications
Result continuities
Project
<a href="/en/project/VJ01010035" target="_blank" >VJ01010035: Security risks of photonic communication networks</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
OPTICS AND LASER TECHNOLOGY
ISSN
0030-3992
e-ISSN
1879-2545
Volume of the periodical
167
Issue of the periodical within the volume
2023
Country of publishing house
GB - UNITED KINGDOM
Number of pages
9
Pages from-to
„“-„“
UT code for WoS article
001024359600001
EID of the result in the Scopus database
2-s2.0-85161701452