Physical layer authentication of off-body channels by probabilistic neural networks

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Physical layer authentication of off-body channels by probabilistic neural networks

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Physical layer authentication of off-body channels by probabilistic neural networks

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50601 - Political science

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

International Journal of Numerical Modelling: Electronic Networks, Devices and Fields

ISSN

1099-1204

e-ISSN

1099-1204

Svazek periodika

32

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

11

Strana od-do

1-11

Kód UT WoS článku

000494229700007

EID výsledku v databázi Scopus

2-s2.0-85074113108