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A Survey on Quantitative Risk Estimation Approaches for Secure and Usable User Authentication on Smartphones.

Maria Papaioannou1,2, Filippos Pelekoudas-Oikonomou2,3, Georgios Mantas1,2

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Summary

Mobile authentication needs improvement beyond passwords. Risk-based continuous authentication using behavioral biometrics offers enhanced security and usability for smartphones, with a review of quantitative risk estimation approaches.

Keywords:
continuous user authenticationmobile devicesquantitative risk estimationrisk-based user authenticationsecurity vs. usability

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Area of Science:

  • Cybersecurity
  • Human-Computer Interaction
  • Mobile Computing

Background:

  • Traditional mobile user authentication methods like passwords face significant security and usability limitations.
  • Biometric authentication, utilizing physiological or behavioral traits, is emerging as a more secure and usable alternative.
  • Risk-based continuous user authentication, particularly leveraging behavioral biometrics, shows promise for robust mobile security.

Purpose of the Study:

  • To present the fundamentals of risk-based continuous user authentication on mobile devices.
  • To provide a comprehensive overview of existing quantitative risk estimation approaches (QREA).
  • To establish a foundation for developing effective QREA for smartphone-based risk-based continuous authentication.

Main Methods:

  • Literature review of quantitative risk estimation approaches (QREA).
  • Categorization of QREA into five main types: probabilistic, machine learning-based, fuzzy logic, non-graph-based, and Monte Carlo simulation.
  • Analysis of QREA applicability for mobile risk-based continuous authentication.

Main Results:

  • Identified and categorized various QREA applicable to security applications, including mobile authentication.
  • Highlighted the potential of behavioral biometrics in risk-based continuous authentication for enhanced mobile security.
  • Summarized findings on QREA in a table for research organization.

Conclusions:

  • Risk-based continuous authentication using behavioral biometrics is a viable path to improve mobile security and usability.
  • A structured understanding of QREA is crucial for advancing the development of robust authentication solutions for smartphones.
  • Further research into adopting and adapting existing QREA for mobile environments is recommended.