A Novel Multi-Factor Authentication Approach Integrating Dynamic Image Grids and Cell Addresses Algorithm

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Abstract

This study introduces a novel graphical multi-factor authentication (MFA) algorithm that integrates user image hashes and dynamic image grids with cell addresses (DIGCA) to optimize storage requirements with robust security. The algorithm stores image hashes rather than actual images, significantly reducing storage space while maintaining security integrity. In contrast to the existing image recognition algorithm, the algorithm shows a drastic reduction of 99.9% in storage requirements. Performance analysis demonstrates that the algorithm provides a high level of accuracy with a 95.36% success rate in user authentication over an extended period. Again, the image grid and cell addresses prove an ample password space and entropy. With the minimum assumption grid size, it achieves a password space of 1.36 × 10 !" , Which makes it virtually impossible for an attacker to guess the correct combination. The results underscore the algorithm's potential as a superior alternative to existing MFA schemes, offering both security and practicality in modern authentication systems.
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A Novel Multi-Factor Authentication Approach Integrating Dynamic Image Grids and Cell Addresses Algorithm | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 13 January 2025 V1 Latest version Share on A Novel Multi-Factor Authentication Approach Integrating Dynamic Image Grids and Cell Addresses Algorithm Authors : Donald Yeboah 0009-0003-6401-2043 [email protected] , Clement Addo , and Joshua Caleb Dagadu Authors Info & Affiliations https://doi.org/10.22541/au.173679731.15504266/v1 211 views 73 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract This study introduces a novel graphical multi-factor authentication (MFA) algorithm that integrates user image hashes and dynamic image grids with cell addresses (DIGCA) to optimize storage requirements with robust security. The algorithm stores image hashes rather than actual images, significantly reducing storage space while maintaining security integrity. In contrast to the existing image recognition algorithm, the algorithm shows a drastic reduction of 99.9% in storage requirements. Performance analysis demonstrates that the algorithm provides a high level of accuracy with a 95.36% success rate in user authentication over an extended period. Again, the image grid and cell addresses prove an ample password space and entropy. With the minimum assumption grid size, it achieves a password space of 1.36 × 10 !", Which makes it virtually impossible for an attacker to guess the correct combination. The results underscore the algorithm's potential as a superior alternative to existing MFA schemes, offering both security and practicality in modern authentication systems. Supplementary Material File (manuscrispt - preprint.pdf) Download 2.17 MB Information & Authors Information Version history V1 Version 1 13 January 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords cell addresses dynamic image grids image hashes multifactor authentication algorithm storage optimization Authors Affiliations Donald Yeboah 0009-0003-6401-2043 [email protected] Department of Information Technology Education, Akenten Appiah-Menka University of Skills Training and Entrepreneurial Development View all articles by this author Clement Addo Department of Information Technology Education, Akenten Appiah-Menka University of Skills Training and Entrepreneurial Development View all articles by this author Joshua Caleb Dagadu Department of Information Technology Education, Akenten Appiah-Menka University of Skills Training and Entrepreneurial Development View all articles by this author Metrics & Citations Metrics Article Usage 211 views 73 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Donald Yeboah, Clement Addo, Joshua Caleb Dagadu. A Novel Multi-Factor Authentication Approach Integrating Dynamic Image Grids and Cell Addresses Algorithm. Authorea . 13 January 2025. DOI: https://doi.org/10.22541/au.173679731.15504266/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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