Czech Entropy

 PRNG

Czech Entropy "random" number generator is now fully functional. Although the quality of entropy is not high, it can be significantly improved. In addition, it is very easy to generate numbers in a different dimension. At least 64 digit numbers. Variable length numbers can be easily generated. You can configure the generation of numbers with gaps in the generation range and even with floating gaps (spaces). Moreover, all this is synchronous.

Such generators must be programmed individually. The reliability of encryption greatly depends on this.

 If you use a synchronous generator for encryption, there is a lot to do. There should be no more than two instances of the application. So that the application itself cannot be decoded, it is impossible to generate a large array of values and calculate the features of the program (this can be counteracted). The generator must use a neural network and train both instances of the application in the same way. The neural network will evaluate the quality of PRNG work and, based on the results, the generation algorithm will be rebuilt after each cycle (synchronously on both instances of the application)

 Let's create such a neural network.

Czech Encryption 

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