An approach to the implementation of a neural network for real-time cryptographic data
protection with symmetric keys oriented on embedded systems is presented. This approach …

The paper presents a developed software solution that implements a new learning model
and application of artificial neural networks, ie the Successive Geometric Transformations …

The problem of the learning of polynomial threshold units over a fixed set of polynomials is
treated in the paper. We consider two approaches in the supervised learning: off-line …

Combined method of cryptographic data protection based on the autoassociative neural
network using “model of successive geometric transformations” paradigm and XOR masking …

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 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 …

To solve the problem of energy efficiency of modern enterprise it is necessary to reduce
energy consumption. One of the possible ways is proposed in this research. A multi-level …

A neural network technology of cryptographic data protection has been developed, and an
algorithm for learning the neural networks based on principal components method has been …

The requirements are formed and the main stages of synthesis of cryptological encryption
and data decryption modules are explained. The tabular-algorithmic method of scalar …

Nowadays in Ukraine, people must plan their future according to the specifics of new
relations-the new specifics of communications, labor organization etc. Each industry has …