Design and FPGA Implementation of a Pseudo-random Number Generator Based on a Hopfield Neural Network Under Electromagnetic Radiation

Design and FPGA Implementation of a Pseudo-random Number Generator Based on a Hopfield Neural Network Under Electromagnetic Radiation

When implementing a pseudo-random number generator (PRNG) for neural network chaos-based systems on FPGAs, chaotic degradation caused by numerical accuracy constraints can have a dramatic impact on the performance of the PRNG. To suppress this degradation, a PRNG with a feedback controller based on...

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Bibliographic Details
Main Authors: Fei Yu, Zinan Zhang, Hui Shen, Yuanyuan Huang, Shuo Cai, Jie Jin, Sichun Du
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Physics
Subjects:
PRNG
hopfield neural network
electromagnetic radiation
chaotic degradation
FPGA
security analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fphy.2021.690651/full

Internet

https://www.frontiersin.org/articles/10.3389/fphy.2021.690651/full

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