TY - JOUR A2 - Herrera, Luis Javier AU - Zhang, Shuai AU - Sun, Lei AU - Mao, Xiuqing AU - Hu, Cuiyun AU - Liu, Peiyuan PY - 2021 DA - 2021/12/24 TI - Review on EEG-Based Authentication Technology SP - 5229576 VL - 2021 AB - With the rapid development of brain-computer interface technology, as a new biometric feature, EEG signal has been widely concerned in recent years. The safety of brain-computer interface and the long-term insecurity of biometric authentication have a new solution. This review analyzes the biometrics of EEG signals, and the latest research is involved in the authentication process. This review mainly introduced the method of EEG-based authentication and systematically introduced EEG-based biometric cryptosystems for authentication for the first time. In cryptography, the key is the core basis of authentication in the cryptographic system, and cryptographic technology can effectively improve the security of biometric authentication and protect biometrics. The revocability of EEG-based biometric cryptosystems is an advantage that traditional biometric authentication does not have. Finally, the existing problems and future development directions of identity authentication technology based on EEG signals are proposed, providing a reference for the related studies. SN - 1687-5265 UR - https://doi.org/10.1155/2021/5229576 DO - 10.1155/2021/5229576 JF - Computational Intelligence and Neuroscience PB - Hindawi KW - ER -