A Color Image Encryption Scheme Based on a Novel 3D Chaotic Mapping

Joint Authors

Liu, Chunyuan
Ding, Qun

Source

Complexity

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-20, 20 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-12-23

Country of Publication

Egypt

No. of Pages

20

Main Subjects

Philosophy

Abstract EN

Low-dimensional chaotic mappings are simple functions that have low computation cost and are easy to realize, but applying them in a cryptographic algorithm will lead to security vulnerabilities.

To overcome this shortcoming, this paper proposes the coupled chaotic system, which coupled the piecewise and Henon mapping.

Simulation results indicate that the novel mapping has better complexity and initial sensitivity and larger key space compared with the original mapping.

Then, a new color image encryption algorithm is proposed based on the new chaotic mapping.

The algorithm has two processes: diffusion and confusion.

In this scheme, the key is more than 2216, and SSIM and PSNR are 0.009675 and 8.6767, respectively.

The secret key is applied in the shuffling and diffusion.

Security analysis indicates that the proposed scheme can resist cryptanalytic attacks.

It has superior performance and has high security.

American Psychological Association (APA)

Liu, Chunyuan& Ding, Qun. 2020. A Color Image Encryption Scheme Based on a Novel 3D Chaotic Mapping. Complexity،Vol. 2020, no. 2020, pp.1-20.
https://search.emarefa.net/detail/BIM-1141719

Modern Language Association (MLA)

Liu, Chunyuan& Ding, Qun. A Color Image Encryption Scheme Based on a Novel 3D Chaotic Mapping. Complexity No. 2020 (2020), pp.1-20.
https://search.emarefa.net/detail/BIM-1141719

American Medical Association (AMA)

Liu, Chunyuan& Ding, Qun. A Color Image Encryption Scheme Based on a Novel 3D Chaotic Mapping. Complexity. 2020. Vol. 2020, no. 2020, pp.1-20.
https://search.emarefa.net/detail/BIM-1141719

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1141719