Biometric keystroke signal preprocessing part I: Signalization, digitization and alteration

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F17%3A50013637" target="_blank" >RIV/62690094:18450/17:50013637 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007%2F978-3-319-60042-0_31" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-319-60042-0_31</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-60042-0_31" target="_blank" >10.1007/978-3-319-60042-0_31</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Biometric keystroke signal preprocessing part I: Signalization, digitization and alteration

Popis výsledku v původním jazyce

Biometric keystroke term basically represents the classification of the users based on password entering style. The characteristic feature to be extracted in most keystroke authentication systems mainly is the inter-key times so the waiting time between key-press moments is supposed to be unique and hard to mimic. Therefore, the majority of the proposed systems start from computing the times in time-domain and the differences for each key in the password, without any pre-process. The performance of the systems as well as the accuracy of classification methodology merely depend on non-processed data. Given this fact, we present preparation methods starting form data acquisition for better post-processing of biometric keystroke signals.

Název v anglickém jazyce

Biometric keystroke signal preprocessing part I: Signalization, digitization and alteration

Popis výsledku anglicky

Biometric keystroke term basically represents the classification of the users based on password entering style. The characteristic feature to be extracted in most keystroke authentication systems mainly is the inter-key times so the waiting time between key-press moments is supposed to be unique and hard to mimic. Therefore, the majority of the proposed systems start from computing the times in time-domain and the differences for each key in the password, without any pre-process. The performance of the systems as well as the accuracy of classification methodology merely depend on non-processed data. Given this fact, we present preparation methods starting form data acquisition for better post-processing of biometric keystroke signals.

Druh

D - Stať ve sborníku

CEP obor

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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

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

Springer LNCS

ISBN

978-3-319-60041-3

ISSN

0302-9743

e-ISSN

neuvedeno

Počet stran výsledku

10

Strana od-do

267-276

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Arras; France

Datum konání akce

27. 6. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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