Intelligent biometric pattern password authentication systems for touchscreens
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F15%3A50003813" target="_blank" >RIV/62690094:18450/15:50003813 - isvavai.cz</a>
Result on the web
<a href="http://www.sciencedirect.com/science/article/pii/S0957417415002948" target="_blank" >http://www.sciencedirect.com/science/article/pii/S0957417415002948</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.eswa.2015.04.052" target="_blank" >10.1016/j.eswa.2015.04.052</a>
Alternative languages
Result language
angličtina
Original language name
Intelligent biometric pattern password authentication systems for touchscreens
Original language description
Given the recent developments in alternative authentication interfaces for smartphones, tablets and touchscreen laptops, one of the mostly selected method is the pattern passwords. Basically, the users that prefer this method, draw a pattern between thenodes to open the lock in lieu of entering an alphanumeric password. Although drawing a pattern seems easier than typing a password, it has a major security drawback since it can be very easy to be stolen. Therefore, this paper proposes some novel theoretical ideas with artificial intelligence methods, to improve security of pattern password authentication, using touching durations as biometric traits. What we put forward is the utilization of three different neural network based algorithms to verify logins with one novel histogram-based technique in a hidden interface for enrollment, training and verification. Inspired by the keystroke recognition models, the touch time and durations are extracted to create a ghost password. Moreover,
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Expert systems with applications
ISSN
0957-4174
e-ISSN
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Volume of the periodical
42
Issue of the periodical within the volume
17-18
Country of publishing house
GB - UNITED KINGDOM
Number of pages
9
Pages from-to
6286-6294
UT code for WoS article
000356122000002
EID of the result in the Scopus database
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