Two-Dimensional Coupled Complex Chaotic Map

Chaotic systems have attracted extensive research due to their pseudorandomness, ergodicity, and unique properties. Most studies focus on chaotic systems in the real number domain, but recent research has explored the design of complex chaotic systems. However, the chaotic behaviors of previous complex chaotic systems can only be observed through experiments and lack theoretical proof. In this article, we construct a 2-D coupled complex chaotic (2D-CCC) map using two nonlinear functions in the complex number domain. We theoretically prove the robust and complex chaotic behavior of the 2D-CCC map using the Lyapunov exponent. In addition, we conduct extensive experiments to demonstrate the map's intricate dynamics and high performance indicators. Comparison results highlight its superiority over previous chaotic systems. We also implement our 2D-CCC map on a hardware platform to validate its implementation feasibility on hardware devices. Finally, we investigate the 2D-CCC map's application in pseudorandom number generation and the testing results validate the high degree of randomness in the generated pseudorandom numbers.

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Publication Details

Journal
IEEE Transactions on Industrial Informatics
Published
2024-09-23
DOI
https://doi.org/10.1109/tii.2024.3431085
Citations
17
Primary Topic
Image Processing and 3D Reconstruction
Type
article
Field-Weighted Citation Impact
4.24

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article

Two-Dimensional Coupled Complex Chaotic Map

Zhongyun Hua, Yinxing Zhang, Han Bao, Shuang Yi et al.
17 citations
IEEE Transactions on Industrial Informatics
Image Processing and 3D Reconstruction
4.24
article

Two-Dimensional Coupled Complex Chaotic Map

Zhongyun Hua, Yinxing Zhang, Han Bao, Shuang Yi, Jinhui Yao
article en
17 citations

Abstract

Chaotic systems have attracted extensive research due to their pseudorandomness, ergodicity, and unique properties. Most studies focus on chaotic systems in the real number domain, but recent research has explored the design of complex chaotic systems. However, the chaotic behaviors of previous complex chaotic systems can only be observed through experiments and lack theoretical proof. In this article, we construct a 2-D coupled complex chaotic (2D-CCC) map using two nonlinear functions in the complex number domain. We theoretically prove the robust and complex chaotic behavior of the 2D-CCC map using the Lyapunov exponent. In addition, we conduct extensive experiments to demonstrate the map's intricate dynamics and high performance indicators. Comparison results highlight its superiority over previous chaotic systems. We also implement our 2D-CCC map on a hardware platform to validate its implementation feasibility on hardware devices. Finally, we investigate the 2D-CCC map's application in pseudorandom number generation and the testing results validate the high degree of randomness in the generated pseudorandom numbers.

IEEE Transactions on Industrial InformaticsVol. 21(1)
Kunming University of Science and Technology (CN), Southwest University of Political Science & Law (CN), Harbin Institute of Technology (CN), Changzhou University (CN)
National Natural Science Foundation of China, Chongqing Municipal Education Commission, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 5%
Image Processing and 3D Reconstruction
4.24
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