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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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