Classification of Events Violating the Safety of Physical Layers in Fiber-optic Network Infrastructures
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F22%3APU146420" target="_blank" >RIV/00216305:26220/22:PU146420 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/1424-8220/22/23/9515" target="_blank" >https://www.mdpi.com/1424-8220/22/23/9515</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/s22239515" target="_blank" >10.3390/s22239515</a>
Alternative languages
Result language
angličtina
Original language name
Classification of Events Violating the Safety of Physical Layers in Fiber-optic Network Infrastructures
Original language description
Fiber-optic network infrastructures are crucial for the transmission of data over long and short distances. Fiber optics are also preferred for the infrastructure of in-building data communications. In this study, we use polarization analysis to ensure the security of the optical fiber/cables of the physical layer. This method exploits the changes induced by mechanical vibrations to polarization states, which can be easily detected using a polarization beam splitter and a balancing photodetector. We use machine learning to classify selected events that violate the safety of the physical layer, such as manipulation or temporary disconnection of connectors. The results show the resting state can be accurately distinguished from selected security breaches for a fiber route subjected to environmental disturbances, where individual events can be classified with nearly 99 % accuracy.
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
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
SENSORS
ISSN
1424-8220
e-ISSN
1424-3210
Volume of the periodical
22
Issue of the periodical within the volume
23
Country of publishing house
CH - SWITZERLAND
Number of pages
13
Pages from-to
„“-„“
UT code for WoS article
000897511800001
EID of the result in the Scopus database
2-s2.0-85143831976