АЛГОРИТМ ПРЕОБРАЗОВАНИЯ ИСХОДНЫХ БИОМЕТРИЧЕСКИХ ПРИЗНАКОВ НЕЙРОННОЙ СЕТИ В КРИПТОГРАФИЧЕСКИЙ ЗАКРЫТЫЙ КЛЮЧ

This paper discusses an algorithm for converting raw biometric features of a neural network into a cryptographic private key. The proposed algorithm is based on leveraging the properties of neural networks to generate unique cryptographic keys that can be used for user authentication. The article describes the process of converting raw features into keys and conducts an analysis of the resilience and security of the generated keys. The results show that the proposed algorithm has a high level of protection and can be used to enhance the security of authentication systems.