A Composite Chaotic Sequence Generation Method

Aiming at the problems of weak attack resistance, insufficient complexity, monotonous generation, and narrow key space in generating chaotic sequences for low-dimensional chaotic mappings, we propose a novel composite chaotic sequence generation method, which combines Improved Logistic chaotic sequences, Chebyshev chaotic sequences and M-sequences. Through simulation studies, we evaluate the key properties of this composite chaotic sequence such as initial value sensitivity, complexity, balance and correlation. The results show that the sequence excels in initial value sensitivity and correlation, while exhibiting better balance and higher complexity.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/spic62469.2024.10691432
Primary Topic
Chaos control and synchronization
Type
article
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article

A Composite Chaotic Sequence Generation Method

Haibo Wu, Tao Sui, Hongda Li, Fang Liu
Chaos control and synchronization
article

A Composite Chaotic Sequence Generation Method

Haibo Wu, Tao Sui, Hongda Li, Fang Liu
article en

Abstract

Aiming at the problems of weak attack resistance, insufficient complexity, monotonous generation, and narrow key space in generating chaotic sequences for low-dimensional chaotic mappings, we propose a novel composite chaotic sequence generation method, which combines Improved Logistic chaotic sequences, Chebyshev chaotic sequences and M-sequences. Through simulation studies, we evaluate the key properties of this composite chaotic sequence such as initial value sensitivity, complexity, balance and correlation. The results show that the sequence excels in initial value sensitivity and correlation, while exhibiting better balance and higher complexity.

Shenyang Ligong University (CN), Neusoft (China) (CN)
Openalex Percentile: Top 84%
Chaos control and synchronization
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