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Evaluating knowledge-based security questions for fallback authentication

Failed user authentication is a common event. Forgotten passwords and fingerprint non-recognition are the most common causes. Therefore, there is a need for efficient backup authentication methods, known as fallback authentication. However, fallback authentication methods suffer from different secur...

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Autores principales: AlHusain, Reem, Alkhalifah, Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044221/
https://www.ncbi.nlm.nih.gov/pubmed/35494806
http://dx.doi.org/10.7717/peerj-cs.903
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author AlHusain, Reem
Alkhalifah, Ali
author_facet AlHusain, Reem
Alkhalifah, Ali
author_sort AlHusain, Reem
collection PubMed
description Failed user authentication is a common event. Forgotten passwords and fingerprint non-recognition are the most common causes. Therefore, there is a need for efficient backup authentication methods, known as fallback authentication. However, fallback authentication methods suffer from different security and usability issues. This study aims to improve the security and usability of knowledge-based fallback authentication in the form of static security questions. The approach proposed in this study was designed considering different factors, such as question features, authentication mechanisms, and the use of tools to aid in composing memorable and secure answers. This study used a two-part experiment with 23 participants to evaluate the proposed approach based on security model testing. The results show that the proposed approach offered improved resistance to blind guess, focused guess, and observation guess attacks. While usability was clearly improved with questions that were based on recognition mechanisms, our results indicate that fallback authentication systems need a flexible level of security and avoidance of complexity in composing answers. In addition, our results indicate the effectiveness of using user behavioral details in the choice of topics for questions, where behavioral questions must have both high recall levels and resistance against guessing attacks. This work theoretically extends the knowledge of fallback authentication research by evaluating new security questions for fallback authentication considering replace of classical topics of security questions by introducing new topics of security questions based on user behavior and personal preferences. Also, this study applies methods of managing answers to security questions by encouraging users to compose answers based on free strict rules that inspire them to create strong and memorable answers based on their own rules. In addition, the findings of this study could support the deployment of knowledge-based authentication in fallback systems as a practical contribution to the user authentication field.
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spelling pubmed-90442212022-04-28 Evaluating knowledge-based security questions for fallback authentication AlHusain, Reem Alkhalifah, Ali PeerJ Comput Sci Human-Computer Interaction Failed user authentication is a common event. Forgotten passwords and fingerprint non-recognition are the most common causes. Therefore, there is a need for efficient backup authentication methods, known as fallback authentication. However, fallback authentication methods suffer from different security and usability issues. This study aims to improve the security and usability of knowledge-based fallback authentication in the form of static security questions. The approach proposed in this study was designed considering different factors, such as question features, authentication mechanisms, and the use of tools to aid in composing memorable and secure answers. This study used a two-part experiment with 23 participants to evaluate the proposed approach based on security model testing. The results show that the proposed approach offered improved resistance to blind guess, focused guess, and observation guess attacks. While usability was clearly improved with questions that were based on recognition mechanisms, our results indicate that fallback authentication systems need a flexible level of security and avoidance of complexity in composing answers. In addition, our results indicate the effectiveness of using user behavioral details in the choice of topics for questions, where behavioral questions must have both high recall levels and resistance against guessing attacks. This work theoretically extends the knowledge of fallback authentication research by evaluating new security questions for fallback authentication considering replace of classical topics of security questions by introducing new topics of security questions based on user behavior and personal preferences. Also, this study applies methods of managing answers to security questions by encouraging users to compose answers based on free strict rules that inspire them to create strong and memorable answers based on their own rules. In addition, the findings of this study could support the deployment of knowledge-based authentication in fallback systems as a practical contribution to the user authentication field. PeerJ Inc. 2022-03-11 /pmc/articles/PMC9044221/ /pubmed/35494806 http://dx.doi.org/10.7717/peerj-cs.903 Text en ©2022 AlHusain and Alkhalifah https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited.
spellingShingle Human-Computer Interaction
AlHusain, Reem
Alkhalifah, Ali
Evaluating knowledge-based security questions for fallback authentication
title Evaluating knowledge-based security questions for fallback authentication
title_full Evaluating knowledge-based security questions for fallback authentication
title_fullStr Evaluating knowledge-based security questions for fallback authentication
title_full_unstemmed Evaluating knowledge-based security questions for fallback authentication
title_short Evaluating knowledge-based security questions for fallback authentication
title_sort evaluating knowledge-based security questions for fallback authentication
topic Human-Computer Interaction
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044221/
https://www.ncbi.nlm.nih.gov/pubmed/35494806
http://dx.doi.org/10.7717/peerj-cs.903
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