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DOI: 10.14569/IJACSA.2022.0131012
PDF

Associating User’s Preference and Satisfaction into Quality of Experience: A Shoulder-surfing Resistant Authentication Scheme by Visual Perception

Author 1: Juliana Mohamed
Author 2: Mohd Farhan Md Fudzee
Author 3: Sofia Najwa Ramli
Author 4: Mohd Norasri Ismail
Author 5: Muhamad Hanif Jofri

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 10, 2022.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Authentication acts as a secured method of usability concepts to certain transactions, especially for online banking transaction. Existing method is lacking in terms of usability, thus, making the goal of usability for authentication activities unsuccessful. A study has discovered some key concepts of usability in terms of Human Computer Interaction (HCI) by comparing two existing models of two different factors: environmental factors and display factors. An algorithm shows the authentication step during the online transaction activity. This paper is to prove that shoulder-surfing resistant authentication scheme that uses visual colour-blind mode-based model meets all the requirements of usability, hence, achieved the goal of usability of authentication. This study will bring forward an algorithm that examined the stated authentication scheme with the two factors, i.e environmental and display, during the authentication activity.

Keywords: Authentication; usability; algorithm; model

Juliana Mohamed, Mohd Farhan Md Fudzee, Sofia Najwa Ramli, Mohd Norasri Ismail and Muhamad Hanif Jofri, “Associating User’s Preference and Satisfaction into Quality of Experience: A Shoulder-surfing Resistant Authentication Scheme by Visual Perception” International Journal of Advanced Computer Science and Applications(IJACSA), 13(10), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0131012

@article{Mohamed2022,
title = {Associating User’s Preference and Satisfaction into Quality of Experience: A Shoulder-surfing Resistant Authentication Scheme by Visual Perception},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0131012},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0131012},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {10},
author = {Juliana Mohamed and Mohd Farhan Md Fudzee and Sofia Najwa Ramli and Mohd Norasri Ismail and Muhamad Hanif Jofri}
}



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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