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Expert Password Management Read chapter Read first chapter

2016 | OriginalPaper | Chapter

ITSME: Multi-modal and Unobtrusive Behavioural User Authentication for Smartphones

Authors : Attaullah Buriro, Bruno Crispo, Filippo Del Frari, Jeffrey Klardie, Konrad Wrona

Published in: Technology and Practice of Passwords

Publisher: Springer International Publishing

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Abstract

In this paper, we propose a new multi-modal behavioural biometric that uses features collected while the user slide-unlocks the smartphone to answer a call. In particular, we use the slide swipe, the arm movement in bringing the phone close to the ear and voice recognition to implement our behaviour biometric. We implemented the method on a real phone and we present a controlled user study among 26 participants in multiple scenario’s to evaluate our prototype. We show that for each tested modality the Bayesian network classifier outperforms other classifiers (Random Forest algorithm and Sequential Minimal Optimization). The multimodal system using slide and pickup features improved the unimodal result by a factor two, with a FAR of 11.01 % and a FRR of 4.12 %. The final HTER was 7.57 %.

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Metadata
Title
ITSME: Multi-modal and Unobtrusive Behavioural User Authentication for Smartphones
Authors
Attaullah Buriro
Bruno Crispo
Filippo Del Frari
Jeffrey Klardie
Konrad Wrona
Copyright Year
2016
Publisher
Springer International Publishing
Book
Technology and Practice of Passwords

Print ISBN: 978-3-319-29937-2

Electronic ISBN: 978-3-319-29938-9

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-29938-9_4

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