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Model for adaptable context-based biometric authentication for mobile devices

Authors:

Adam Wójtowicz,

Krzysztof JoachimiakAuthors Info & Claims

Personal and Ubiquitous Computing, Volume 20, Issue 2

Pages 195 - 207

https://doi.org/10.1007/s00779-016-0905-0

Published: 01 April 2016 Publication History

Abstract

It becomes possible to take advantage of seamless biometric authentication on mobile devices due to increasing quality and quantity of built-in sensors, increasing processing power of the devices, and wireless connectivity. However, practical effectiveness of the biometric authentication application depends on user's environment conditions that can decrease the accuracy of biometrics recognition or make the acquisition process undesirable for mobile user in a given moment, i.e., effectiveness depends on usage context. In this paper, context-based biometric authentication model for mobile devices is proposed. It enables determining the most accurate authentication method at the moment along with the most accurate form of interacting with a user w.r.t. authentication process. The generic model designed and verified with proof-of-concept implementation constitutes a foundation for building further adaptable and extensible multi-factor context-dependent systems for mobile authentication.

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Cited By

Chen JHengartner UKhan H(2024)MRAAC: A Multi-stage Risk-aware Adaptive Authentication and Access Control Framework for AndroidACM Transactions on Privacy and Security10.1145/364837227:2(1-30)Online publication date: 15-Feb-2024
https://dl.acm.org/doi/10.1145/3648372
Cariello NLevine SZhou GHoplight BGasti PBalagani K(2024)SMARTCOPEPervasive and Mobile Computing10.1016/j.pmcj.2023.10187397:COnline publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1016/j.pmcj.2023.101873
Xu YJian XLi TZou SLi B(2023)Blockchain-Based Authentication Scheme with an Adaptive Multi-Factor Authentication StrategyMobile Information Systems10.1155/2023/47641352023Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1155/2023/4764135
Show More Cited By

Model for adaptable context-based biometric authentication for mobile devices
1. Security and privacy
  1. Security services

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Information & Contributors

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Published In

cover image Personal and Ubiquitous Computing

Personal and Ubiquitous Computing Volume 20, Issue 2

April 2016

108 pages

ISSN:1617-4909

Issue’s Table of Contents

Copyright © Copyright © 2016 Springer-Verlag London.

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 April 2016

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Citations

Cited By

Chen JHengartner UKhan H(2024)MRAAC: A Multi-stage Risk-aware Adaptive Authentication and Access Control Framework for AndroidACM Transactions on Privacy and Security10.1145/364837227:2(1-30)Online publication date: 15-Feb-2024
https://dl.acm.org/doi/10.1145/3648372
Cariello NLevine SZhou GHoplight BGasti PBalagani K(2024)SMARTCOPEPervasive and Mobile Computing10.1016/j.pmcj.2023.10187397:COnline publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1016/j.pmcj.2023.101873
Xu YJian XLi TZou SLi B(2023)Blockchain-Based Authentication Scheme with an Adaptive Multi-Factor Authentication StrategyMobile Information Systems10.1155/2023/47641352023Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1155/2023/4764135
Purohit HAjmera P(2022)Multi-modal biometric fusion based continuous user authentication for E-proctoring using hybrid LCNN-Salp swarm optimizationCluster Computing10.1007/s10586-021-03450-w25:2(827-846)Online publication date: 1-Apr-2022
https://dl.acm.org/doi/10.1007/s10586-021-03450-w
Prange SMecke LNguyen AKhamis MAlt F(2020)Don't Use Fingerprint, it's Raining!Proceedings of the 2020 International Conference on Advanced Visual Interfaces10.1145/3399715.3399823(1-5)Online publication date: 28-Sep-2020
https://dl.acm.org/doi/10.1145/3399715.3399823
Arias-Cabarcos PKrupitzer CBecker C(2019)A Survey on Adaptive AuthenticationACM Computing Surveys10.1145/333611752:4(1-30)Online publication date: 11-Sep-2019
https://dl.acm.org/doi/10.1145/3336117
Shukla DWei GXue DJin ZPhoha V(2018)Body-Taps: Authenticating Your Device Through Few Simple Taps2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS)10.1109/BTAS.2018.8698602(1-8)Online publication date: 22-Oct-2018
https://dl.acm.org/doi/10.1109/BTAS.2018.8698602
Leng LGao FChen QKim C(2018)Palmprint recognition system on mobile devices with double-line-single-point assistancePersonal and Ubiquitous Computing10.1007/s00779-017-1105-222:1(93-104)Online publication date: 1-Feb-2018
https://dl.acm.org/doi/10.1007/s00779-017-1105-2
Geng BGe LWang QWang L(2018)Improved Digital Password Authentication Method for Android SystemIntelligent Computing Theories and Application10.1007/978-3-319-95933-7_86(780-791)Online publication date: 15-Aug-2018
https://dl.acm.org/doi/10.1007/978-3-319-95933-7_86
Wójtowicz AChmielewski J(2017)Technical feasibility of context-aware passive payment authorization for physical points of salePersonal and Ubiquitous Computing10.1007/s00779-017-1035-z21:6(1113-1125)Online publication date: 1-Dec-2017
https://dl.acm.org/doi/10.1007/s00779-017-1035-z

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