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Can I read A New Perturbation-feedback Hybrid Control Method for Reducing the Dynamic Degradation of Digital Chaotic Systems and Its Application in Image Encryption on EtoBox?

A New Perturbation-feedback Hybrid Control Method for Reducing the Dynamic Degradation of Digital Chaotic Systems and Its Application in Image Encryption by Hongyue Xiang; Lingfeng Liu is a Computer Science article available to read on EtoBox.

What is A New Perturbation-feedback Hybrid Control Method for Reducing the Dynamic Degradation of Digital Chaotic Systems and Its Application in Image Encryption about?

In a finite precision computing environment, the trajectories of all chaotic sequences enter a cycle leading to degradation of their dynamics. In this paper a new perturbation feedback hybrid control method to reduce the influence of finite precision. A traditional logistic map is introduced as a pseudo-random sequence generator for time-varying perturbation to perturb the coefficients of chaotic map and make them iteratively changed in the chaotic region. The nonlinear feedback mechanism has high complexity. Numerical analysis results show that the perturbation-feedback hybrid control method can effectively attenuate the dynamic degradation of digital chaotic systems. Further, we propose a simple encryption algorithm based on the perturbation-feedback hybrid control method and apply it to image encryption. The NPCR and UACI of our encryption method are 0.99609 and 0.33464, respectively and the information entropy is as high as 7.9976. All the numerical experiments results prove that the proposed algorithm is highly secure, resistant to multiple attacks, and is more competitive than other encryption algorithms.

Who reads A New Perturbation-feedback Hybrid Control Method for Reducing the Dynamic Degradation of Digital Chaotic Systems and Its Application in Image Encryption?

It is typically read by researchers, students, and practitioners in Computer Science.

Author
Hongyue Xiang; Lingfeng Liu
Publisher
Springer Science and Business Media LLC
Published
2021
Language
EN
Field
Computer Science (Physical Sciences)

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