Publication detail

Support Vector Machine - Based Classification of Wireless Transceivers

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

Original Title

Support Vector Machine - Based Classification of Wireless Transceivers

Type

conference paper

Language

English

Original Abstract

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.

Keywords

RF transceivers; authentication; RE impairments; support vector machines

Authors

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

Released

6. 5. 2021

Publisher

IEEE

Location

NEW YORK

ISBN

978-1-6654-1474-6

Book

2021 31ST INTERNATIONAL CONFERENCE RADIOELEKTRONIKA (RADIOELEKTRONIKA)

Pages from

1

Pages to

4

Pages count

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"
}