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Research and Development of Brainwave Recognition Technology and Its Access Control Application

摘要


This research will use the brainwave characteristics of brainwaves to develop feasible user identification verification technology. It will be different from the existing fingerprint, hand shape, eye pattern, iris, and facial brainwave feature verification. In this case, the password will be a brain wave signal from the individual's brain to a specific scene, not text, physiological and physical types. The biggest feature of this kind of password is that there is no need to worry that others will steal it, so our research will be a unique innovation. This research and development results will design a complete identity authentication process so that the brainwave password can reach four evaluation criteria: false acceptance rate, false rejection rate, internal verification function, and verification time. It can resist common password security threats, such as guessing attacks, brute force attacks or brute force attacks, reissue attacks, and fraud methods. Reach the ultimate goal of identifying users of the legal system. This research extends the understanding of brainwave characteristics to secure brainwave cryptographic system mechanisms, and then designs and applies them to cloud recognition, access control systems, and micropayment security systems.

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