Physical layer authentication of off-body channels by probabilistic neural networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F26482789%3A_____%2F19%3AN0000132" target="_blank" >RIV/26482789:_____/19:N0000132 - isvavai.cz</a>
Result on the web
<a href="https://onlinelibrary.wiley.com/doi/10.1002/jnm.2628" target="_blank" >https://onlinelibrary.wiley.com/doi/10.1002/jnm.2628</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/jnm.2628" target="_blank" >10.1002/jnm.2628</a>
Alternative languages
Result language
angličtina
Original language name
Physical layer authentication of off-body channels by probabilistic neural networks
Original language description
A probabilistic neural network (PNN) for the authentication of an off-body channel of a wireless body area network is discussed in this paper. The off-body channel is authenticated by radio-frequency fingerprints of on-body channels. Thanks to a relatively high stationarity of on-body channels, a reasonable probability of radio-frequency fingerprinting identification is reached. Radio-frequency fingerprints are used to train a probabilistic neural network playing the role of an authentication key. The authentication process can be efficiently controlled by setting tolerance zones of the network. Functionality of the concept was proven by computer simulations.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
50601 - Political science
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Numerical Modelling: Electronic Networks, Devices and Fields
ISSN
1099-1204
e-ISSN
1099-1204
Volume of the periodical
32
Issue of the periodical within the volume
6
Country of publishing house
US - UNITED STATES
Number of pages
11
Pages from-to
1-11
UT code for WoS article
000494229700007
EID of the result in the Scopus database
2-s2.0-85074113108