Development, evaluation, and analysis of biometric-based bank vault user authentication system through brainwaves

College

Gokongwei College of Engineering

Department/Unit

Electronics And Communications Engg

Document Type

Article

Source Title

Journal of Ambient Intelligence and Humanized Computing

Volume

14

First Page

10165

Last Page

10179

Publication Date

2023

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 electroencepha- logram 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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Disciplines

Electrical and Computer Engineering

Keywords

Biometric identification; Electroencephalography; Brain

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