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
—