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 encryption (decryption)
and encoding (decoding) in real-time on hardware that satisfy the restrictions on the dimensions,
energy, cost and development time. In this connection, the problem of choosing an elemental
base for the synthesis of neuro-like structures of symmetric encryption-decryption of data and means
of encoding-decoding when transmitting data using noise-like codes becomes especially relevant.
Methods: Software implementation of data protection and transmission using noise-like codes involves
the use of universal and functionally oriented microprocessors. In the programmatic implementation
of neuro-like algorithms for encryption and decryption of data, computational processes are
mostly expandable in time with a large volume of information transfer between the RAM and operating
Results: In this work, a series of element base selection simulations and synthesis of DPTS were performed
with various technical parameters. During each simulation, the microcontroller, memory
blocks, operating nodes and communication interfaces are selected. The simulation was performed on
a MacBook Pro 2015 with a Core i7 processor and 16 GB of RAM.
Conclusion: It has been proposed to implement the real-time DPTS using noise-like codes by
combining universal and special approaches based on the processor core supplemented by hardware
with a table-algorithmic implementation of encryption (decryption) processes. The method of
selection of the elemental base for the synthesis of DPTS has been improved. A simulation model of
element base selection for the synthesis of the DPTS has been developed. The system of synthesis of
data protection and data transmission using noise-like codes has been developed.