Enhancing image-emoji graphical password multi-factor authentication by utilizing single touch and multi-touch gesture
Smartphones have evolved into a basic human requirement. PINs, passwords, swipes and other methods are used to authenticate users on mobile devices. However, existing authentication systems are vulnerable to modern security vulnerabilities. As the number of touch devices increases, gesture-based aut...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Semarak Ilmu
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/117677/ http://psasir.upm.edu.my/id/eprint/117677/1/117677.pdf |
| _version_ | 1848867311726886912 |
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| author | Roslan, Nuur Alifah Mohd Norowi, Noris Zabidi, Nursyabila Mahmod, Ramlan Asfarian, Auzi |
| author_facet | Roslan, Nuur Alifah Mohd Norowi, Noris Zabidi, Nursyabila Mahmod, Ramlan Asfarian, Auzi |
| author_sort | Roslan, Nuur Alifah |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Smartphones have evolved into a basic human requirement. PINs, passwords, swipes and other methods are used to authenticate users on mobile devices. However, existing authentication systems are vulnerable to modern security vulnerabilities. As the number of touch devices increases, gesture-based authentication becomes increasingly crucial. The distinctness of a gesture in a touch base mobile device is investigated in this research. Analysis reveals that a specific user has distinct finger gestures. An experimental study demonstrates that an individual's index finger and thumbs improve finger accuracy in a gesture-based authentication. The purpose of this article is to investigate the influence of single and multi-touch on the production of graphical passwords, specifically using images and emoji and based on a two-factor authentication mechanism. Our finding proves the efficiency increasing up, where it took an average of 37 seconds to register their credentials when using the multi-touch gesture approach compare 47.93 seconds on average for single-touch approach. As for the effectiveness, which referring the trial attempts determined that multi-touch gestures are more successful than single touch gestures, with a 78% success. |
| first_indexed | 2025-11-15T14:34:29Z |
| format | Article |
| id | upm-117677 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:34:29Z |
| publishDate | 2024 |
| publisher | Semarak Ilmu |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1176772025-06-09T07:54:34Z http://psasir.upm.edu.my/id/eprint/117677/ Enhancing image-emoji graphical password multi-factor authentication by utilizing single touch and multi-touch gesture Roslan, Nuur Alifah Mohd Norowi, Noris Zabidi, Nursyabila Mahmod, Ramlan Asfarian, Auzi Smartphones have evolved into a basic human requirement. PINs, passwords, swipes and other methods are used to authenticate users on mobile devices. However, existing authentication systems are vulnerable to modern security vulnerabilities. As the number of touch devices increases, gesture-based authentication becomes increasingly crucial. The distinctness of a gesture in a touch base mobile device is investigated in this research. Analysis reveals that a specific user has distinct finger gestures. An experimental study demonstrates that an individual's index finger and thumbs improve finger accuracy in a gesture-based authentication. The purpose of this article is to investigate the influence of single and multi-touch on the production of graphical passwords, specifically using images and emoji and based on a two-factor authentication mechanism. Our finding proves the efficiency increasing up, where it took an average of 37 seconds to register their credentials when using the multi-touch gesture approach compare 47.93 seconds on average for single-touch approach. As for the effectiveness, which referring the trial attempts determined that multi-touch gestures are more successful than single touch gestures, with a 78% success. Semarak Ilmu 2024-12-17 Article PeerReviewed text en cc_by_nc_4 http://psasir.upm.edu.my/id/eprint/117677/1/117677.pdf Roslan, Nuur Alifah and Mohd Norowi, Noris and Zabidi, Nursyabila and Mahmod, Ramlan and Asfarian, Auzi (2024) Enhancing image-emoji graphical password multi-factor authentication by utilizing single touch and multi-touch gesture. Journal of Advanced Research in Applied Sciences and Engineering Technology, 62 (1). pp. 48-57. ISSN 2462-1943 https://semarakilmu.com.my/journals/index.php/applied_sciences_eng_tech/article/view/4443 10.37934/araset.62.1.4857 |
| spellingShingle | Roslan, Nuur Alifah Mohd Norowi, Noris Zabidi, Nursyabila Mahmod, Ramlan Asfarian, Auzi Enhancing image-emoji graphical password multi-factor authentication by utilizing single touch and multi-touch gesture |
| title | Enhancing image-emoji graphical password multi-factor authentication by utilizing single touch and multi-touch gesture |
| title_full | Enhancing image-emoji graphical password multi-factor authentication by utilizing single touch and multi-touch gesture |
| title_fullStr | Enhancing image-emoji graphical password multi-factor authentication by utilizing single touch and multi-touch gesture |
| title_full_unstemmed | Enhancing image-emoji graphical password multi-factor authentication by utilizing single touch and multi-touch gesture |
| title_short | Enhancing image-emoji graphical password multi-factor authentication by utilizing single touch and multi-touch gesture |
| title_sort | enhancing image-emoji graphical password multi-factor authentication by utilizing single touch and multi-touch gesture |
| url | http://psasir.upm.edu.my/id/eprint/117677/ http://psasir.upm.edu.my/id/eprint/117677/ http://psasir.upm.edu.my/id/eprint/117677/ http://psasir.upm.edu.my/id/eprint/117677/1/117677.pdf |