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A Framework for Continuous Authentication Based on Touch Dynamics Biometrics for Mobile Banking Applications.

Priscila Morais Argôlo Bonfim Estrela1, Robson de Oliveira Albuquerque1, Dino Macedo Amaral1

  • 1Cybersecurity INCT Unit 6, Decision Technologies Laboratory-LATITUDE, Electrical Engineering Department (ENE), Technology College, University of Brasília (UnB), Brasília 70910-900, Brazil.

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Summary
This summary is machine-generated.

This study enhances Biotouch, a machine learning framework for continuous user authentication using touch dynamics. The improved system uses multiple scopes for more resilient models, significantly reducing fraud in mobile banking.

Keywords:
continuous authenticationmobile authenticationmobile securitytouch dynamics biometrics

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Machine Learning

Background:

  • Smart devices are frequent targets for fraudsters, necessitating robust security for internet banking.
  • Impersonation attacks are a major concern for banking providers.
  • Touch dynamics biometrics offer a promising solution by analyzing unique user interaction patterns.

Purpose of the Study:

  • To propose an improved Biotouch framework for continuous user authentication.
  • To enhance security in internet banking applications against impersonation fraud.
  • To evaluate the effectiveness of a multi-scope approach in biometric authentication.

Main Methods:

  • Developed an improved Biotouch framework utilizing multiple scopes for resilient machine learning models.
  • Created new datasets tailored for the enhanced Biotouch framework.
  • Evaluated model performance by testing False Acceptance Rate (FAR) and Equal Error Rate (EER).

Main Results:

  • Achieved F1 Scores between 90.68% and 97.05%, indicating high precision and recall.
  • Demonstrated Equal Error Rates (EER) between 1.88% and 9.85% across various verification stages.
  • The multi-scope model proved effective in distinguishing legitimate users from imposters.

Conclusions:

  • The proposed continuous multi-scope authentication framework is a feasible and effective security layer for banking applications.
  • This approach can complement traditional security measures like passwords.
  • Touch dynamics biometrics provide a strong defense against identity fraud in mobile banking.