Citation

Ho, Yean Li and Lau, Siong Hoe and Azman, Afizan (2020) Comparison Between BlindLogin and Other Graphical Password Authentication Systems. In: Advances in Cyber Security. Communications in Computer and Information Science, 1132 . Springer, pp. 235-246. ISBN 9789811526923

Text 10.1007@978-981-15-2693-0.pdf - Published Version Restricted to Repository staff only Download (30MB)

Abstract

This pilot study was done to evaluate the picture superiority effect on the memorability and usability of BlindLogin based on the Usability-Deployability-Security (UDS) Model and to compare the results with other graphical password authentication systems found in literature. The results from this pilot study indicated that the visually impaired users generally thought that BlindLogin was better than the textual password based on all the UDS Model usability criteria. The results further indicated that BlindLogin was significantly better than textual passwords in four usability criteria (Memorywise Effortless, Infrequent Errors, Efficient to Use and Physically Effortless). For Memorywise-Effortless, BlindLogin (p < 0.012) is more significant than Image PassTiles (p < 0.013) and much more significant than Object PassTiles (p < 0.045). For Infrequent Errors, BlindLogin (p < 0.015) is almost as significant as Passpoints (p < 0.013). The security of BlindLogin was also assessed by tabulating the password space and launching a dictionary attack and a brute-force attack using the capabilities of the cloud. The results showed that it would take about 48188.59 years to brute-force a BlindLogin password using the capabilities of the cloud, which is better than DAS (541.8 years) and Grid Selection (541.8 years). As currently graphical authentication systems designed for the visually impaired have yet to be found in literature, BlindLogin has been shown to be a memorable and usable graphical authentication system for visually impaired users as compared to other graphical password systems which was designed only for sighted users on the mobile platform.

Item Type:	Book Section
Uncontrolled Keywords:	Human-computer interaction, Visually impaired, Blind, Authentication, Graphical passwords, Human computer interaction security, Usability, Mobile Smartphone
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	29 Dec 2020 05:52
Last Modified:	29 Dec 2020 05:52
URII:	http://shdl.mmu.edu.my/id/eprint/8040

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