4.6 Article

An efficient and self-adapting colour-image encryption algorithm based on chaos and interactions among multiple layers

Journal

MULTIMEDIA TOOLS AND APPLICATIONS
Volume 77, Issue 20, Pages 26191-26217

Publisher

SPRINGER
DOI: 10.1007/s11042-018-5844-5

Keywords

Colour-image encryption; Chaos; Interaction of multiple layers; Security analysis

Funding

  1. National Natural Science Foundation of China [61661008]
  2. Guangxi Natural Science Foundation [2017GXNSFAA198180, 2015GXNSFBA139256, 2016GXNSFCA380017]
  3. Overseas 100 Talents Program of Guangxi Higher Education
  4. Research Project of Guangxi University of China [KY2016YB059]
  5. Guangxi Key Lab of Multi-source Information Mining Security [MIMS15-07]
  6. Doctoral Research Foundation of Guangxi Normal University
  7. Guangxi Experiment Centre of Information Science
  8. Innovation Project of Guangxi Graduate Education [YCSZ2017055]

Ask authors/readers for more resources

In this paper, we propose an efficient and self-adapting colour-image encryption algorithm based on chaos and the interactions among multiple red, green and blue (RGB) layers. Our study uses two chaotic systems and the interactions among the multiple layers to strengthen the cryptosystem for the colour-image encryption, which can achieve better confusion and diffusion performances. In the confusion process, we use the novel Rubik's Cube Scheme (RCS) to scramble the image. The significant advantage of this approach is that it sufficiently destroys the correlation among the different layers of colour image, which is the most important feature of the randomness for the encryption. The theoretical analysis and experimental results show that the proposed algorithm can improve the encoding efficiency, enhances the security of the cipher-text, has a large key space and high key sensitivity, and is also able to resist statistical and exhaustive attacks.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available