Hardware Components for Nonlinear Neuro-like Data Protection in Mobile Smart Systems

Rapid grows and expansion smart systems application, wide use data transmission networks require cryptographic protection of such data. Graph model of nonlinear neuro-like data encryption algorithm has been developed. This model provides a transition to the structure of hardware to process data of different intensity. The structure of the hardware for implementation basic operation of nonlinear neuro-like encryption is focused on FPGA. The method of implementing multi-input summation has been improved, which, due to the complex use of vertical and multi-operand approaches, ensured a time reduction of summation of a group of operands.