Advanced FFT architecture based on Cordic method for Brain signal Encryption system

Abstract

The human brain usually generates brain wave signals used for medical research to study the state of the human body. Most common diseases like seizures, insomnia, or other diseases such as brain tumors can be diagnosed using brain wave signals captured with a device's help. Apart from these, nowadays, many devices are invented that operates with brain signals for people with disabilities. And now, in this paper, we will use brain signals for authenticating high-security devices using a network since secondary damage cannot be caused in brain wave signals like generated in a fingerprint, iris, face, etc. Brain wave serves as high-security biometric data. However, brain signals can also be hacked once captured by a malicious personality [14]. Here we will encrypt Brain wave signal with an advanced FFT architecture that incorporates the Cordic system in it. His method enhances high-security transmission of Brain signals over the network for authenticating a high-security device.