In recent years, neural networks and cryptographic schemes have come together in war and
peace; a cross-impact that forms a dichotomy deserving a comprehensive review study …

Rapid grows and expansion smart systems application, wide use data transmission
networks require cryptographic protection of such data. Graph model of nonlinear neuro-like …

Background: The modern stage of the development data protection and transmission
systems is characterized by an extension of the application areas, most of which require …

The fully connected 2-layer feedforward network architecture with the hidden layer
consisting of bithreshold neurons is considered in the paper. We design the neural network …

Nowadays, intensive streams of fuzzy input data need to be processed in real-time for
different fields of science and engineering. To solve this problem, a generalized model for …

The paper deals with the issues concerning the expressive power of bithreshold neurons.
We study how many Boolean functions of n variables can be computed by using bithreshold …

In recent years, NNs, as the basic components in AI models and cryptographic schemes,
have come together in war and peace; a cross-impact forms a dichotomy deserving a …

The analysis of publications is carried out, which indicates the urgency of the problem of
cryptographic encryption and decryption of real-time data for mobile robotic systems. The …

The training of the auto-associative neural network by the method of principal components
analysis has been conducted and the matrix of weight coefficients has been calculated. A …

This book studies the intersection between cryptography and AI, highlighting the significant
cross-impact and potential between the two technologies. The authors first study the …