Pin-Code Authentication by Local Proximity Based Touchstroke Classifier

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F20%3A50017069" target="_blank" >RIV/62690094:18450/20:50017069 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-45385-5_31" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-45385-5_31</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-45385-5_31" target="_blank" >10.1007/978-3-030-45385-5_31</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Pin-Code Authentication by Local Proximity Based Touchstroke Classifier

Popis výsledku v původním jazyce

Most of the recently released touchscreen devices enable fingerprint authentication; while pin-codes connected to the fingerprints are still in common usage. Among various biometric feature extractors, such as time-based, frequency-based or even pressure-based, the most reliable and implementable with mathematical infrastructure is location-based approach for enhancing security of touchscreen devices. Therefore, in this paper, we propose fundamentals of a novel feature extraction protocol to strengthen pin-codes by calculating local proximity of the touches on the screen without long training sessions. We presented a fuzzy-like area methodology for finding outputs for each input and also conducted experiments to show the discretization of the outputs per real and fraud attempts. © Springer Nature Switzerland AG 2020.

Název v anglickém jazyce

Pin-Code Authentication by Local Proximity Based Touchstroke Classifier

Popis výsledku anglicky

Most of the recently released touchscreen devices enable fingerprint authentication; while pin-codes connected to the fingerprints are still in common usage. Among various biometric feature extractors, such as time-based, frequency-based or even pressure-based, the most reliable and implementable with mathematical infrastructure is location-based approach for enhancing security of touchscreen devices. Therefore, in this paper, we propose fundamentals of a novel feature extraction protocol to strengthen pin-codes by calculating local proximity of the touches on the screen without long training sessions. We presented a fuzzy-like area methodology for finding outputs for each input and also conducted experiments to show the discretization of the outputs per real and fraud attempts. © Springer Nature Switzerland AG 2020.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název statě ve sborníku

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ISBN

978-3-030-45384-8

ISSN

0302-9743

e-ISSN

—

Počet stran výsledku

12

Strana od-do

350-361

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Granada, Spain

Datum konání akce

6. 5. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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