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Biometric Swiping on Touchscreens

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F15%3A50004178" target="_blank" >RIV/62690094:18450/15:50004178 - isvavai.cz</a>

  • Result on the web

    <a href="http://link.springer.com/chapter/10.1007/978-3-319-24369-6_16" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-24369-6_16</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-24369-6_16" target="_blank" >10.1007/978-3-319-24369-6_16</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Biometric Swiping on Touchscreens

  • Original language description

    Touchscreen devices have become very popular in the last decade and eased our modern life. It is now possible to automatically log in to any web page connected to our touchscreen phones, such as social networks, e-commerce sites and even mobile banking. Given these facts, the emerging touchscreen technology brings out a potential security issue: weakness of authentication protocols. Therefore, we put forward a biometric enhancement on "swiping" authentication, which is one of the options to log in a touchscreen phone however with the lowest security. We created a ghost password by extracting the features of coordinates and swipe durations to use them as the inputs of the Levenberg-Marquardt based neural network and adaptive neuro-fuzzy classifiers which both discriminate real attempts from fraud attacks after training.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

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

    Computer information systems and industrial management (CISIM 2015)

  • ISSN

    0302-9743

  • e-ISSN

  • Volume of the periodical

    9339

  • Issue of the periodical within the volume

    2015

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    11

  • Pages from-to

    193-203

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-84959223936