Neural-Like Means for Data Streams Encryption and Decryption in Real Time

摘要

The “model of successive geometric transformations” paradigm has been adapted for the implementation of parallel-streaming neural network encryption-decryption of data in real time. A model and structure of a parallel-streaming neural-like element for the mode have been developed.