EEG Encryption Scheme with Junk Data Using Chaos Maps

Abstract

Gradually increasing the value of the technology, the techniques of the various security systems to protect the core technology have been developed. The proposed security scheme, which uses both a password and the various devices, is always open by malicious user. In order to solve that problem, the biometric authentication systems are introduced but they have a problem which is the secondary damage to the user. So, the authentication methods using EEG (Electroencephalography) signals were developed. However, the size of EEG signals is big and it causes a lot of problems for the real-time authentication. And the encryption scheme is necessary. In this paper, we proposed an efficient encryption scheme with junk data using chaos map on the EEG signals for person authentication in real-time.