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OUJEZSKÝ, V. TOMAŠOV, A. HOLÍK, M. ŠKORPIL, V. HORVÁTH, T. JURČÍK, M.
Originální název
GPON Traffic Analysis with TensorFlow
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
The paper presents the latest research results of gigabit passive optical network analysis using machine learning algorithms. TensorFlow has been used to learn the frames of GPON management traffic of the G.984.3 protocol and detect outliers to the standard. The frames are captured by FPGA programmable network card and processed with a software parser and further processed with the TensorFlow using JSON format. The proposed technique can bring a way how to test if vendors of network devices follow the standard and if the content of the frames can be treated as secure and trustworthy.
Klíčová slova
analysis; detection; gpon; machine; learning; tensorflow;
Autoři
OUJEZSKÝ, V.; TOMAŠOV, A.; HOLÍK, M.; ŠKORPIL, V.; HORVÁTH, T.; JURČÍK, M.
Vydáno
7. 7. 2020
Nakladatel
IEEE
Místo
Milan, Italy
ISBN
978-1-7281-6376-5
Kniha
2020 43rd International Conference on Telecommunications and Signal Processing (TSP)
Strany od
69
Strany do
72
Strany počet
4
URL
https://ieeexplore.ieee.org/document/9163575
BibTex
@inproceedings{BUT165542, author="Václav {Oujezský} and Adrián {Tomašov} and Martin {Holík} and Vladislav {Škorpil} and Tomáš {Horváth} and Michal {Jurčík}", title="GPON Traffic Analysis with TensorFlow", booktitle="2020 43rd International Conference on Telecommunications and Signal Processing (TSP)", year="2020", pages="69--72", publisher="IEEE", address="Milan, Italy", doi="10.1109/TSP49548.2020.9163575", isbn="978-1-7281-6376-5", url="https://ieeexplore.ieee.org/document/9163575" }