Publication detail

Classification of Events Violating the Safety of Physical Layers in Fiber-optic Network Infrastructures

RUŽIČKA, M. JABLONČÍK, L. DEJDAR, P. TOMAŠOV, A. SPURNÝ, V. MÜNSTER, P.

Original Title

Classification of Events Violating the Safety of Physical Layers in Fiber-optic Network Infrastructures

Type

journal article in Web of Science

Language

English

Original Abstract

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.

Keywords

event classification; machine learning; optical fiber sensor; physical layer security; state of polarization changes; vibration

Authors

RUŽIČKA, M.; JABLONČÍK, L.; DEJDAR, P.; TOMAŠOV, A.; SPURNÝ, V.; MÜNSTER, P.

Released

6. 12. 2022

Publisher

MDPI

ISBN

1424-8220

Periodical

SENSORS

Year of study

22

Number

23

State

Swiss Confederation

Pages count

13

URL

https://www.mdpi.com/1424-8220/22/23/9515

BibTex

@article{BUT180236,
  author="Michal {Ružička} and Lukáš {Jablončík} and Petr {Dejdar} and Adrián {Tomašov} and Vladimír {Spurný} and Petr {Münster}",
  title="Classification of Events Violating the Safety of Physical Layers in Fiber-optic Network Infrastructures",
  journal="SENSORS",
  year="2022",
  volume="22",
  number="23",
  pages="13",
  doi="10.3390/s22239515",
  issn="1424-8220",
  url="https://www.mdpi.com/1424-8220/22/23/9515"
}