GAN-based pseudo random number generation optimized through genetic algorithms

GAN-based pseudo random number generation optimized through genetic algorithms

Abstract Pseudo-random number generators (PRNGs) are deterministic algorithms that generate sequences of numbers approximating the properties of random numbers, which are widely utilized in various fields. In this paper, we present a Genetic Algorithm Optimized Generative Adversarial Network (herein...

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Bibliographic Details
Main Authors: Xuguang Wu, Yiliang Han, Minqing Zhang, Yu Li, Su Cui
Format: Article
Language:English
Published: Springer 2024-11-01
Series:Complex & Intelligent Systems
Subjects:
Adversarial neural networks
Pseudo-random number generators
Neural cryptography
Online Access:https://doi.org/10.1007/s40747-024-01606-w
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