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Detail publikačního výsledku
MARŠÁLEK, R.; YOUSSEFOVÁ, K.; POSPÍŠIL, M.
Originální název
Support Vector Machine - Based Classification of Wireless Transceivers
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
The wireless device authentication based on the impairments of radio frequency front-end is a promising method how to increase the physical layer security of future wireless networks. This paper is demonstrating the use of one of the most-used machine learning methods - Support Vector Machines in such an application. Besides sketching the multi-class authentication on an example of data from a set of software defined radios, we also evaluate how is the used classifier sensitive to changes of working temperature during the learning and testing phases.
Anglický abstrakt
Klíčová slova
RF transceivers; authentication; RE impairments; support vector machines
Klíčová slova v angličtině
Autoři
Rok RIV
2022
Vydáno
06.05.2021
Nakladatel
IEEE
Místo
NEW YORK
ISBN
978-1-6654-1474-6
Kniha
2021 31ST INTERNATIONAL CONFERENCE RADIOELEKTRONIKA (RADIOELEKTRONIKA)
Strany od
1
Strany do
4
Strany počet
URL
https://ieeexplore.ieee.org/document/9420191
BibTex
@inproceedings{BUT177253, author="Roman {Maršálek} and Kristina {Youssefová} and Martin {Pospíšil}", title="Support Vector Machine - Based Classification of Wireless Transceivers", booktitle="2021 31ST INTERNATIONAL CONFERENCE RADIOELEKTRONIKA (RADIOELEKTRONIKA)", year="2021", pages="1--4", publisher="IEEE", address="NEW YORK", doi="10.1109/RADIOELEKTRONIKA52220.2021.9420191", isbn="978-1-6654-1474-6", url="https://ieeexplore.ieee.org/document/9420191" }