A Novel Algorithm for Generating Pseudo-Random Number

It proposes a pseudo-random number generation algorithm based on cellular neural networks. This method uses the hyper-chaos characteristics of the cellular neural networks and sets the appropriate parameters to generate the pseudo-random number. The experimental results show that, compared with othe...

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Bibliographic Details
Published inInternational journal of computational intelligence systems Vol. 12; no. 2; pp. 643 - 648
Main Authors Hu, Gangyi, Peng, Jin, Kou, Weili
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 2019
Springer
Subjects
Cellular neural networks
Chaotic system
Generate pseudo-random number
Research Article
Chaotic system
Cellular neural networks
Generate pseudo-random number
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Summary:It proposes a pseudo-random number generation algorithm based on cellular neural networks. This method uses the hyper-chaos characteristics of the cellular neural networks and sets the appropriate parameters to generate the pseudo-random number. The experimental results show that, compared with other similar algorithms, this algorithm has the characteristics of simple operation, low complexity, large key space, good initial value sensitivity, good cross-correlation characteristics, and good randomness. It can meet the needs of secure communication and image encryption, which has good application prospects.
ISSN:1875-6891
1875-6883
1875-6883
DOI:10.2991/ijcis.d.190521.001