基于Cordic方法的脑信号加密系统先进FFT体系结构

Souvik Pal, G. Suseendran, D. Akila, R. Jayakarthik, T. Jabeen
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引用次数: 0

摘要

人脑通常产生脑电波信号,用于医学研究,研究人体的状态。大多数常见疾病,如癫痫、失眠或其他疾病,如脑肿瘤,都可以通过设备的帮助下捕获的脑电波信号来诊断。除了这些,现在,许多设备都是为残疾人发明的,通过大脑信号进行操作。现在,在本文中,我们将使用脑电波信号通过网络对高安全性设备进行身份验证,因为脑电波信号不会像指纹、虹膜、面部等产生的信号那样造成二次损害。脑电波是高度安全的生物识别数据。然而,大脑信号一旦被恶意人格者捕获,也可以被黑客攻击[14]。在这里,我们将使用先进的FFT架构加密脑波信号,其中包含Cordic系统。他的方法增强了大脑信号在网络上的高安全性传输,用于验证高安全性设备。
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Advanced FFT architecture based on Cordic method for Brain signal Encryption system
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.
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