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DOI: 10.14569/IJACSA.2020.0110291
PDF

Knowledge based Authentication Techniques and Challenges

Author 1: Hosam Alhakami
Author 2: ShouqAlhrbi

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 2, 2020.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Knowledge-based Authentication (KBA) is an au-thentication approach, which verifying the user identity when accessing services such as finical websites. KBA requests specific information to prove personal identity of the owner. This paper discusses the challenges that are faced by KBA techniques. Memorability is the main obstacle in KBA since the users trying to utilize simple passwords or unify the passwords in various services, a step that cause problems and issues with compliance with security policies. Furthermore, the technique of mixing username/password is considered as another important challenge of KBA due to the recall-based authentication. This discussion includes a comparative analysis of KBA’s techniques based on trade-off criteria to support making of decision. This study’s results can support organizations in the recommendations process of a suitable KBA technique for organizations.

Keywords: Knowledge-based authentication; artifact-based au-thentication; biometric-based authentication; usability; vulnerabil-ities; memorability; performance; cost

Hosam Alhakami and ShouqAlhrbi, “Knowledge based Authentication Techniques and Challenges” International Journal of Advanced Computer Science and Applications(IJACSA), 11(2), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110291

@article{Alhakami2020,
title = {Knowledge based Authentication Techniques and Challenges},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110291},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110291},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {2},
author = {Hosam Alhakami and ShouqAlhrbi}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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