Přístupnostní navigace
E-application
Search Search Close
Project detail
Duration: 01.01.2023 — 31.12.2025
Funding resources
Ministerstvo vnitra ČR - 1 VS OPSEC
- whole funder (2023-01-02 - 2029-07-31)
On the project
Description in EnglishThe project aims to design and realization of a laboratory testbed that enables from the transmission parameters of data signals at transmission speeds ranging from 1 to 200 Gbit/s, events such as network degradation, cable manipulation or attacker detection. Testbed allows variability in configuration (different distances, combination of passive components, different modulation formats, etc.) and will be used to create datasets for machine learning to improve the security of optical fiber infrastructures. The results will serve the professional and general audience and will be shared in academic papers.
Key words in Englishoptical network, data communication, dataset, machine learning
Mark
VK01030048
Default language
Czech
People responsible
Horváth Tomáš, Ing., Ph.D. - fellow researcherMünster Petr, doc. Ing., Ph.D. - principal person responsible
Units
Department of Telecommunications- (2023-01-01 - 2025-12-31)
Results
MÜNSTER, P.; TOMAŠOV, A.; DEJDAR, P.; HORVÁTH, T. Deploying Machine Learning in Distributed Sensing to Increase Resilience of Fiber Optic Infrastructure. In 2023 Conference on Lasers and Electro-Optics (CLEO). San Jose, CA, USA: Optica Publishing Group, 2023. ISBN: 978-1-957171-25-8.Detail