Electroencephalogram-based user authentication system for bank vault security

College

Gokongwei College of Engineering

Department/Unit

Electronics And Communications Engg

Document Type

Conference Proceeding

Source Title

IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS)

First Page

129

Last Page

135

Publication Date

2021

Abstract

Security systems are one of the major concerns of security bank vaults. Bank vaults require a reliable and highly secure authentication system. Providing a biometric- driven 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 an electroencephalogram-based authentication system for a bank vault that would extract the brainwaves from the 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. Results show through the cognitive task analysis that the vault is able to remain locked for almost 98% of the time. Moreover, 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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Digitial Object Identifier (DOI)

10.1109/IoTaIS53735.2021.9628779

Disciplines

Electrical and Computer Engineering

Keywords

Biometric identification; Electroencephalography

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