Detail publikace

Support Vector Machine - Based Classification of Wireless Transceivers

MARŠÁLEK, R. YOUSSEFOVÁ, K. POSPÍŠIL, M.

Originální název

Support Vector Machine - Based Classification of Wireless Transceivers

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

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.

Klíčová slova

RF transceivers; authentication; RE impairments; support vector machines

Autoři

MARŠÁLEK, R.; YOUSSEFOVÁ, K.; POSPÍŠIL, M.

Vydáno

6. 5. 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

4

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"
}