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HMOG: New Behavioral Biometric Features for Continuous Authentication of Smartphone Users

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F16%3A00089158" target="_blank" >RIV/00216224:14310/16:00089158 - isvavai.cz</a>

  • Result on the web

    <a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7349202" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7349202</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/TIFS.2015.2506542" target="_blank" >10.1109/TIFS.2015.2506542</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    HMOG: New Behavioral Biometric Features for Continuous Authentication of Smartphone Users

  • Original language description

    We introduce hand movement, orientation, and grasp (HMOG), a set of behavioral features to continuously authenticate smartphone users. HMOG features unobtrusively capture subtle micro-movement and orientation dynamics resulting from how a user grasps, holds, and taps on the smartphone. We evaluated authentication and biometric key generation (BKG) performance of HMOG features on data collected from 100 subjects typing on a virtual keyboard. Data were collected under two conditions: 1) sitting and 2) walking. We achieved authentication equal error rates (EERs) as low as 7.16% (walking) and 10.05% (sitting) when we combined HMOG, tap, and keystroke features. We performed experiments to investigate why HMOG features perform well during walking. Our results suggest that this is due to the ability of HMOG features to capture distinctive body movements caused by walking, in addition to the hand-movement dynamics from taps. With BKG, we achieved the EERs of 15.1% using HMOG combined with taps.

  • 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

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    IEEE Transactions on Information Forensics and Security

  • ISSN

    1556-6013

  • e-ISSN

  • Volume of the periodical

    11

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    16

  • Pages from-to

    877-892

  • UT code for WoS article

    000372355200001

  • EID of the result in the Scopus database