Statistical analysis of chaotic stochastic properties based on the logistic map and Fibonacci sequence
Dahua Song, Jiahui Liu, Fang Wang
Abstract
Dahua Song, Jiahui Liu, Fang Wang
Abstract
The chaotic cryptosystems are widely researched in the scientific and technical fields. But the dynamical degradation is a hindrance to digital chaotic maps. In this paper, we present a detailed statistical analysis of the mixed chaotic series based on the logistic map and Fibonacci sequence, which convert the value of the logistic map into the integer number by Fibonacci sequence. The experimental results show that the mixed chaotic series have the desired dynamics and randomness with the range of (0, 256). It is the prevention and remedy to the dynamical degradation of chaotic maps. It can be applied to the chaotic cryptosystems and security communications.
OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The chaotic cryptosystems are widely researched in the scientific and technical fields. But the dynamical degradation is a hindrance to digital chaotic maps. In this paper, we present a detailed statistical analysis of the mixed chaotic series based on the logistic map and Fibonacci sequence, which convert the value of the logistic map into the integer number by Fibonacci sequence. The experimental results show that the mixed chaotic series have the desired dynamics and randomness with the range of (0, 256). It is the prevention and remedy to the dynamical degradation of chaotic maps. It can be applied to the chaotic cryptosystems and security communications.
Key concepts: Chaotic, Fibonacci number, Logistic map, Randomness, Sequence (biology), Tent map, Series (stratigraphy), Computer science