Abstract
The bank vault’s security system require a reliable and highly secure authentication system. Providing a biometric-based authentication for safety vaults eliminates the possibility for a robber to forcefully demand access to the vault. Brainwaves are one of the most reliable biometrics of a person since it is unique and inherent to a person. This work develops and evaluates a biometric-based user authentication system for a bank vault that would extract the brainwaves using an electroencephalogram device of a user. The system was evaluated using cognitive tasks such as selective attention, reaction to stimuli, long-term memory, sustained attention and divided attention using frequency domain analysis. In addition, the duration of the authentication process and user acceptability were also evaluated. Results show through the cognitive task analysis that the vault is able to remain locked for almost 98% of the time. Finally, the accuracy of the system is 90.08% when the task for long-term memory is applied in best-case scenario.
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Data availability
The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
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Acknowledgements
The authors would like to acknowledge the support of the Department of Electronics and Computer Engineering, Gokongwei College of Engineering and the Office of the Vice Chancellor for Research and Innovation (OVCRI) of the De La Salle University.
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Alipio, M.I. Development, evaluation, and analysis of biometric-based bank vault user authentication system through brainwaves. J Ambient Intell Human Comput 14, 10165–10179 (2023). https://doi.org/10.1007/s12652-021-03679-8
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DOI: https://doi.org/10.1007/s12652-021-03679-8