Biometric Authentication Technology Trends in Smart Device Environment

Malaysia is amongst one of the first countries in the world to use biometrics as a standard in its identification cards and automatic teller machines (ATMs). Currently, there is a lack of studies in Malaysia and around the world that studied the user acceptance of ATM biometric authentication technology. All previous studies tended to overlook the user acceptance of ATM biometrics authentication which is an increasingly important mechanism to verify user identity in banking industry. Therefore, this study is carried out to examine the key factors of user acceptance of ATM biometric authentication technology in Malaysian banks. The target population of this study was customers of commercial banks in the central region of Malaysia. The participants were randomly selected. The questionnaire was distributed to 200 bank customers who have at least 1-year experience in using ATM biometric authentication. The items in the questionnaire were derived from the extensive survey of relevant literature and oral interview. The findings show that both the performance expectancy and social influence have significant effects on user adoption of ATM biometric authentication. Keywords: ATM, behavioural intention to use, biometrics, performance expectancy, social influence.

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Review on EEG-Based Authentication Technology

Computational Intelligence and Neuroscience ◽

10.1155/2021/5229576 ◽

2021 ◽

Vol 2021 ◽

pp. 1-20

Author(s):

Shuai Zhang ◽

Lei Sun ◽

Xiuqing Mao ◽

Cuiyun Hu ◽

Peiyuan Liu

Keyword(s):

Brain Computer Interface ◽

Rapid Development ◽

Computer Interface ◽

Biometric Authentication ◽

Eeg Signals ◽

Existing Problems ◽

Cryptographic System ◽

Authentication Technology ◽

First Time

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.

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