Read Rassokhin Danila K., Lukashchik Elena P. TWO-FACTOR BIOMETRIC AUTHENTICATION SYSTEM // Caspian journal : management and high technologies. — 2021. — №4. — pp. 66-74.

Rassokhin Danila K. - Kuban State University

Lukashchik Elena P. - Kuban State University

The aim of the work is to develop a specialized service for two-factor authentication of users based on their biometric data namely unique physiological or behavioral person characteristics. This extended authentication method can be used in systems where data security is of particular importance, for example, in financial systems. Some types of biometric data used in modern security systems are discussed in the article namely voice and fingerprints, as well as methods for collecting and processing them. Biometric systems are analyzed, their advantages and disadvantages are considered. Such systems seem to be the most convenient for the user since they do not require additional memorization of any data or possession of physical objects. However, biometric systems are much more expensive for the owners of these systems. The risks of hacking biometric data assets were also noted. Considering the hardware power and availability of interface software, as well as a wide audience of users of modern mobile devices, a mobile version of the twofactor biometric authentication service has been proposed. Fingerprint recognition is performed using standard Android OS tools - Biometric API. A method based on Linear Prediction Coefficients (LPC) is used for voice recognition. To apply of this service for authenticating of users by third-party applications special protocol has been developed. To prevent compromise of biometric data, an encryption method based on Diophantine equations is used.

Key words: information security, authentication, biometric, speaker recognition, fingerprint recognition, two-factor authentication, Diophantine equations