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The use of neural networks in pseudo-random number generators developmentThe information about using different types of neural networks for developing pseudo-random number
Analysis of pseudo-random number generation methodsThe information about the analysis of pseudo-random number generation methods is provided
Unreliability of Available Pseudorandom Number GeneratorsAbstract: The problem of generating sequences of uniformly distributed pseudorandom numbers
Pseudo-random number generator based on neural networkIn this paper we consider pseudo-random uniformly distributed number generators, such as xorshif
THE IMPLEMENTATION OF PSEUDO-RANDOM NUMBER GENERATOR IN JULIA for scientific programming. The following are algorithms for generating pseudo-random numbers distributed
ENCRYPTING DATA USING PSEUDORANDOM NUMBER GENERATORS AND CRYPTOGRAPHYENCRYPTING DATA USING PSEUDORANDOM NUMBER GENERATORS AND CRYPTOGRAPHY
METHOD OF APPLYING DETERMINISTIC GENETIC ALGORITHM IN CRYPTOGRAPHY level of ciphers like XOR encryption by increasing the randomness level of pseudorandom number
Visual verification of pseudo-random number generatorsWe consider construction of uniformly distributed pseudo-random number sequences. To estimate
USING DETERMINISTIC GENETIC ALGORITHM TO PROVIDE SECURED CRYPTOSYSTEMpseudorandom number generators
Design and implementation of symmetric encryption algorithm using pseudorandom number generatorsDesign and implementation of symmetric encryption algorithm using pseudorandom number generators
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