К содержанию
РецензированоEN2023

ANALYSIS OF NON-CRYPTOGRAPHIC METHODS FOR SOFTWARE BINDING TO FACIAL BIOMETRIC DATA OF USER IDENTITY

Agzamova Mohinabonu (Tashkent University Of Information Technologies Named After Muhammad Al-Khwarizmi, Tashkent, Uzbekistan) · Irgasheva Durdona (Tashkent University Of Information Technologies Named After Muhammad Al-Khwarizmi, Tashkent, Uzbekistan)

Международный журнал передовых научных исследований · 38-47 · 2023

Аннотация

Facial biometrics have gained significant attention as a convenient and reliable means of user authentication in various applications. In this research article, we conduct a comprehensive analysis of non-cryptographic methods for binding software to facial biometric data of user identity. The objective is to explore the effectiveness and limitations of these methods in enhancing the security and reliability of information technology systems. The analysis considers various techniques used in the processing and analysis of facial biometric data, shedding light on their applicability and potential vulnerabilities. The findings of this analysis provide valuable insights for researchers, developers, and practitioners in the field of facial biometric authentication.

Доказательный фрагмент

«Facial biometrics have gained significant attention as a convenient and reliable means of user authentication in various applications.»

Образец извлечения

Демо-превью

Facial biometrics have gained significant attention as a convenient and reliable means of user authentication in various applications. Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.

DOI не указан
Цитирований
0
Тип
Журнал
Страна
Узбекистан
Ключевые слова
Facial biometrics, non-cryptographic methods, software binding
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