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Evaluating knowledge-based security questions for fallback authentication.

Reem AlHusain1, Ali Alkhalifah1

  • 1Department of Information Technology, College of Computer, Qassim University, Buraidah, Saudi Arabia.

Peerj. Computer Science
|May 2, 2022
PubMed
Summary
This summary is machine-generated.

This study enhances knowledge-based fallback authentication using novel security questions based on user behavior. The improved method increases security against guessing attacks while boosting usability for users needing efficient authentication.

Keywords:
AuthenticationFallback AuthenticationKnowledge-based authenticationSecret questions

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Area of Science:

  • Computer Science
  • Information Security
  • Human-Computer Interaction

Background:

  • Failed user authentication, often due to forgotten passwords or fingerprint issues, necessitates effective fallback authentication methods.
  • Existing fallback authentication, particularly knowledge-based static security questions, presents significant security and usability challenges.
  • There is a critical need for improved fallback authentication systems that balance robust security with user-friendliness.

Purpose of the Study:

  • To enhance the security and usability of knowledge-based fallback authentication through static security questions.
  • To develop and evaluate a novel approach considering question features, authentication mechanisms, and answer composition tools.
  • To investigate the effectiveness of user behavioral details and personal preferences in designing security questions.

Main Methods:

  • A two-part experiment involving 23 participants was conducted to evaluate the proposed approach.
  • Security model testing was employed to assess resistance against various guessing attacks (blind, focused, observation).
  • Usability was assessed through user feedback and analysis of answer composition methods.

Main Results:

  • The proposed approach demonstrated improved resistance to common guessing attacks.
  • Security questions based on recognition mechanisms significantly enhanced usability.
  • User behavioral questions showed high recall and strong resistance to guessing attacks.
  • Flexible security levels and simplified answer composition are crucial for effective fallback systems.

Conclusions:

  • The study successfully improved the security and usability of knowledge-based fallback authentication.
  • Incorporating user behavior and personal preferences into security questions offers a promising research direction.
  • The findings support the practical deployment of knowledge-based authentication in fallback systems, enhancing overall user authentication security.
  • Future systems should balance security strength with ease of use, particularly in answer composition.