Detail výsledku

Support Vector Machine - Based Classification of Wireless Transceivers

MARŠÁLEK, R.; YOUSSEFOVÁ, K.; POSPÍŠIL, M. Support Vector Machine - Based Classification of Wireless Transceivers. In 2021 31ST INTERNATIONAL CONFERENCE RADIOELEKTRONIKA (RADIOELEKTRONIKA). NEW YORK: IEEE, 2021. p. 1-4. ISBN: 978-1-6654-1474-6.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Maršálek Roman, prof. Ing., Ph.D., UREL (FEKT)
Youssefová Kristina, Ing.
Pospíšil Martin, Ing., Ph.D., UREL (FEKT)
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.

Klíčová slova

RF transceivers; authentication; RE impairments; support vector machines

URL
Rok
2021
Strany
1–4
Sborník
2021 31ST INTERNATIONAL CONFERENCE RADIOELEKTRONIKA (RADIOELEKTRONIKA)
Konference
31th International Conference Radioelektronika 2021
ISBN
978-1-6654-1474-6
Vydavatel
IEEE
Místo
NEW YORK
DOI
10.1109/RADIOELEKTRONIKA52220.2021.9420191
UT WoS
000676146400001
EID Scopus
2-s2.0-85106022888
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"
}
Pracoviště
Ústav radioelektroniky (UREL)
Nahoru