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Research on cascading high-dimensional isomorphic chaotic maps
Qiujie Wu1,2, Fanghai Zhang1,2, Qinghui Hong3
1School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, 430074 China.
Cognitive Neurodynamics
|March 31, 2021
Summary
This study introduces a novel chaotic map construction by cascading high-dimensional systems. This method enhances security through larger keyspaces and Lyapunov exponents, improving chaotic sequence generation for applications like image encryption.
Area of Science:
- Chaos theory
- Dynamical systems
- Cryptography
Background:
- Discrete chaotic sequences often suffer from small Lyapunov exponents and limited keyspaces, posing security risks.
- Enhancing chaotic map properties is crucial for robust cryptographic applications.
Purpose of the Study:
- To present a general chaotic construction method by cascading multiple high-dimensional isomorphic maps.
- To overcome the security weaknesses of existing chaotic sequences.
Main Methods:
- A general construction method involving cascading high-dimensional isomorphic maps.
- Analysis of dynamical behaviors using the generalized 3-D Hénon map under various cascade modes.
- Investigation of diverse maps generated through parameter variation and permutation.
Main Results:
- Cascaded systems exhibit enlarged parameter spaces and increased Lyapunov exponents compared to original maps.
- Discovery of new dynamical behaviors, including coexisting and hyperchaotic attractors.
- Demonstration of excellent performance in image encryption using the generated chaotic sequences.
Conclusions:
- The proposed cascading method effectively enhances the security of chaotic sequences.
- The method provides a flexible approach to generating complex chaotic behaviors.
- The resulting chaotic sequences are suitable for secure image encryption.
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