Volume 12, Issue 2, 2019, Pages 643 - 648
A Novel Algorithm for Generating Pseudo-Random Number
Authors
Gangyi Hu1, Jin Peng2, Weili Kou1, *
1College of Big Data and Intelligence Engineering, Southwest Forestry University, Panlong District, Kunming, 650024, China
2Yunnan Vocational College of Judicial, Guandu District, Kunming, 650050, China
*Corresponding author. Email: kwl_eric@163.com
Corresponding Author
Weili Kou
Received 4 January 2019, Accepted 17 May 2019, Available Online 17 June 2019.
- DOI
- 10.2991/ijcis.d.190521.001How to use a DOI?
- Keywords
- Cellular neural networks; Chaotic system; Generate pseudo-random number
- Abstract
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.
- Copyright
- © 2019 The Authors. Published by Atlantis Press SARL.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
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TY - JOUR AU - Gangyi Hu AU - Jin Peng AU - Weili Kou PY - 2019 DA - 2019/06/17 TI - A Novel Algorithm for Generating Pseudo-Random Number JO - International Journal of Computational Intelligence Systems SP - 643 EP - 648 VL - 12 IS - 2 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.d.190521.001 DO - 10.2991/ijcis.d.190521.001 ID - Hu2019 ER -