Modern achievements into crypto-biometric protection of information based on handwriting

Бесплатный доступ

The article presents the results of scientific achievements in the field of biometric-cryptographic security of information. A modern area in the development of biometric information security is the solution of the task of formation a cryptographic key based on the biometric features of the user. A comparative analysis of Biometrics-access code converters: fuzzy extractors and neural network Biometrics-code converters, was carried out. Biometric data of handwriting, keystroke dynamics, voice features and biometric data of the face are considered. The classification of biometric security of information tasks, the table of advantages and disadvantages, the table of the results of average estimates of the quality of algorithms for formation a cryptographic key based on the user’s biometric features are presented. The presented results can be useful for specialists in the field of biometric information security when choosing promising scientific research.

Еще

Information security, authentication, automatic signature verification, identification, pattern recognition, fuzzy extractors, neural network biometrics-code converter

Короткий адрес: https://sciup.org/140290764

IDR: 140290764   |   DOI: 10.18469/ikt.2021.19.3.14

Статья научная