Deep Learning-Based Security Verification for a Random Number Generator Using White Chaos

Deep Learning-Based Security Verification for a Random Number Generator Using White Chaos

In this paper, a deep learning (DL)-based predictive analysis is proposed to analyze the security of a non-deterministic random number generator (NRNG) using white chaos. In particular, the temporal pattern attention (TPA)-based DL model is employed to learn and analyze the data from both stages of...

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Bibliographic Details
Main Authors: Cai Li, Jianguo Zhang, Luxiao Sang, Lishuang Gong, Longsheng Wang, Anbang Wang, Yuncai Wang
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Entropy
Subjects:
deep learning
security analysis
random number generator
white chaos
semiconductor laser
predictive model
Online Access:https://www.mdpi.com/1099-4300/22/10/1134

Internet

https://www.mdpi.com/1099-4300/22/10/1134

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