Biometric keystroke signal preprocessing part I: Signalization, digitization and alteration
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Biometric keystroke signal preprocessing part I: Signalization, digitization and alteration
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Springer LNCS
ISBN
978-3-319-60041-3
ISSN
0302-9743
e-ISSN
neuvedeno
Number of pages
10
Pages from-to
267-276
Publisher name
Springer
Place of publication
Cham
Event location
Arras; France
Event date
Jun 27, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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