Support Vector Machine - Based Classification of Wireless Transceivers

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F21%3APU144030" target="_blank" >RIV/00216305:26220/21:PU144030 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9420191" target="_blank" >https://ieeexplore.ieee.org/document/9420191</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/RADIOELEKTRONIKA52220.2021.9420191" target="_blank" >10.1109/RADIOELEKTRONIKA52220.2021.9420191</a>

Result language
angličtina
Original language name
Support Vector Machine - Based Classification of Wireless Transceivers
Original language description
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.
Czech name
—
Czech description
—

Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2021 31ST INTERNATIONAL CONFERENCE RADIOELEKTRONIKA (RADIOELEKTRONIKA)
ISBN
978-1-6654-1474-6
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
1-4
Publisher name
IEEE
Place of publication
NEW YORK
Event location
Brno
Event date
Apr 19, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000676146400001

Similar results(10)