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  3. Volume 9, 2021
  4. Development of Mobile Facilities of Neuro-like Cryptographic Encryption and Decryption of Data in Real Time

Development of Mobile Facilities of Neuro-like Cryptographic Encryption and Decryption of Data in Real Time

SCSIT.
2021;
Volume 9
: pp. 84 - 95
https://doi.org/10.23939/sisn2021.09.084
Authors:
  1. Ivan Tsmots
  2. Vasyl Rabyk
  3. Yu. A. Lukashchuk
1
Lviv Polytechnic National University, Lviv, Ukraine
2
Department of Radio Physics and Computer Technologies Ivan Franko National University of Lviv
3
Lviv Polytechnic National University, Lviv, Ukraine

The requirements are formed, the method is chosen and the main stages of development of mobile means of neuro-like cryptographic encryption and real-time data decryption are considered. It is shown that the development of mobile means of neuro-like cryptographic encryption and decryption of real-time data with high efficiency of equipment is reduced to minimize hardware costs while providing a variety of requirements, characteristics and limitations. The tabular-algorithmic method of calculating the scalar product has been improved. Namely, the ability to work with floating-point operands has been added and it is focused on hardware and software implementation. Developed on the basis of a universal processor core, supplemented by specialized modules, mobile means of neuro-like cryptographic encryption and data decryption. Which due to the combination of universal and specialized approaches, software and hardware provides effective implementation of algorithms for cryptographic encryption and decryption of data in real time. It is proposed to use a multioperand approach, tables of macroparticle products and bases of elementary arithmetic operations to achieve high technical and economic indicators in the implementation of specialized modules of neuro-like cryptographic encryption and real-time data decryption. Specialized modules of neuro-like cryptographic encryption and data decryption have been implemented using the VHDL hardware programming language and the Quartus II development environment (version 13.1) on the FPGA. The evaluation of hardware and time parameters of the developed specialized module of neurosimilar cryptographic data decryption is carried out.

data encryption
data decryption
neural network
scalar product
specialized module
neuro-like element
FPGA
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