Neural Network System for Selection of Table Tennis Equipment with Elements of Crypto Protection

The purpose of the research is to create a system for selecting table tennis equipment. Such a system would help players and coaches to select the optimal combination of rubbers and blade and contain elements of crypto-protection to ensure the security of personal data. To organize the cryptoprotection of the neural network system, an improved method of increasing the speed of implementation of the group matrix cryptotransformation is used. A method of increasing the stability of pseudorandom sequences built on the basis of matrix cryptographic transformation operations was developed by adding them modulo, which ensured an increase in the probability of degenerate transformation results. The use of this method made it possible to reduce the mathematical complexity and time of the cryptographic transformation due to the reduction of the complexity of construction and the use of the inverse transformation. The synthesis of pseudo-random sequences based on the application of matrix cryptographic transformation operations by adding them modulo and statistical analysis of the degeneracy of the transformation results was carried out.