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Research Article | Open Access |

Usability Testing of Memorable Word in Security Enhancing in e-Government and e-Financial Systems

Author 1: Hanan Alotaibi Author 2: Dania Aljeaid Author 3: Amal Alharbi
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 14, No. 9 · Published 2023

DOI: https://doi.org/10.14569/IJACSA.2023.0140928

Abstract

Most applications increase their security by adding an extra layer to the login process using two-factor authentication (2FA). In Saudi Arabia, One-Time Password (OTP), which is 2FA, is the most common method used as users log in to their accounts. However, some issues have emerged with using OTP as 2FA; these issues from previous research were investigated in the study. Also, the study proposed a new method of account authentication, which is a Memorable Word (MW). MW is the second and short password in which the user enters a certain number of characters instead of the whole password. The study conducted usability testing to compare two 2FA methods, OTP and MW. The study included 60 participants logged into a simulated website using both authentication methods. Then, all participants have to complete the questionnaire. The collected data analyses showed a favourable opinion of the MW method.

Keywords

How to Cite this Article

Alotaibi, H., Aljeaid, D., & Alharbi, A. (2023). Usability Testing of Memorable Word in Security Enhancing in e-Government and e-Financial Systems. International Journal of Advanced Computer Science and Applications, 14(9). https://doi.org/10.14569/IJACSA.2023.0140928

Alotaibi, Hanan, et al.. "Usability Testing of Memorable Word in Security Enhancing in e-Government and e-Financial Systems." International Journal of Advanced Computer Science and Applications, vol. 14, no. 9, 2023, https://doi.org/10.14569/IJACSA.2023.0140928.

@article{Alotaibi2023,
  title     = {Usability Testing of Memorable Word in Security Enhancing in e-Government and e-Financial Systems},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {14},
  number    = {9},
  year      = {2023},
  publisher = {The Science and Information Organization},
  author    = {Hanan Alotaibi and Dania Aljeaid and Amal Alharbi},
  doi       = {10.14569/IJACSA.2023.0140928},
  url       = {https://doi.org/10.14569/IJACSA.2023.0140928}
}

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