A Brain-Computer Interface Based Security System

Abstract

Banks and ATMs often rely on alpha-numeric passwords and biometric systems for authentication and secure access. Yet, a large number of cases on the misuse of accounts by miscreants continue to be reported. In this paper, we propose a novel security system based on Brain-Computer Interfaces that have the potential of providing higher security when compared to the above two methods. This system utilizes the Steady State Visually Evoked Potentials (SSVEP) generated by flickering visual stimuli for keying in the passwords. Both the Analog Front End and Digital Filtering & Analysis have been designed and implemented successfully. The Analog Front End includes a Pre-Amplification stage comprising of Instrumentation Amplifier, a Butter worth Filter and an Isolation Amplifier. The Digital Filtering and Analysis have been carried out using the ADS1298ECGFE-PDK and the computer. The simulation and individual module tests have shown promising results. Our final aim is that the integrated modules will provide enhanced security for password authentication.