skip to main content
10.1145/3589608.3595083acmconferencesArticle/Chapter ViewAbstractPublication PagessacmatConference Proceedingsconference-collections
short-paper

Demo: A Multimodal Behavioral Biometric Scheme for Smartphone User Authentication (MBBS)

Published: 24 May 2023 Publication History

Abstract

In this demo paper, we introduce MBBS - a tetra-model behavioral biometric authentication scheme for smartphones. MBBS leverages four modalities: the way a smartphone user (i) swipes on the touchscreen, (ii) taps any combination of ''text-independent" 8-digit numbers, (iii) writes his name on the touchscreen, and (iv) the hand's micro-movements he makes during this entry process, to authenticate users. Additionally, MBBS includes a Generative Adversarial Network (GAN) powered data augmentation architecture to enhance overall accuracy and security. To this end, we aim to demonstrate the effectiveness of MBBS firstly on ''real'' users' samples and later on the augmented samples comprising of ''real'' and ''GAN-generated'' samples, on a real Android device. MBBS is likely to enjoy maximum usability since it does not require users to remember any secret. Further, it exploits the users' familiarity with the processes and it increases the accuracy (by employing GAN in real time) without requiring a large sample size from users. Preliminary results in terms of performance, security, and usability analysis also show a positive opinion about our developed mechanism.

References

[1]
Zahid Akhtar and Attaullah Buriro. 2021. Multitrait Selfie: Low-Cost Multimodal Smartphone User Authentication. Biometric Identification Technologies Based on Modern Data Mining Methods (2021), 159--175.
[2]
Zahid Akhtar, Attaullah Buriro, Bruno Crispo, and TiagoHFalk. 2017. Multimodal smartphone user authentication using touchstroke, phone-movement and face patterns. In 2017 IEEE global conference on signal and information processing (GlobalSIP). IEEE, 1368--1372.
[3]
Attaullah Buriro, Bruno Crispo, Filippo Del Frari, Jeffrey Klardie, and Konrad Wrona. 2016. Itsme: Multi-modal and unobtrusive behavioural user authentication for smartphones. In Technology and Practice of Passwords: 9th International Conference, PASSWORDS 2015, Cambridge, UK, December 7-9, 2015, Proceedings 9. Springer, 45--61.
[4]
Davide Maltoni, Dario Maio, Anil K Jain, and Salil Prabhakar. 2003. Multimodal biometric systems. Handbook of fingerprint recognition (2003), 233--255.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
SACMAT '23: Proceedings of the 28th ACM Symposium on Access Control Models and Technologies
May 2023
218 pages
ISBN:9798400701733
DOI:10.1145/3589608
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 May 2023

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. behavioral biometrics
  2. sensors
  3. smartphone authentication

Qualifiers

  • Short-paper

Conference

SACMAT '23
Sponsor:

Acceptance Rates

Overall Acceptance Rate 177 of 597 submissions, 30%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 96
    Total Downloads
  • Downloads (Last 12 months)31
  • Downloads (Last 6 weeks)4
Reflects downloads up to 20 Jan 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media