4.6 Article

A Plaintext-Related Dynamical Image Encryption Algorithm Based on Permutation-Combination-Diffusion Architecture

Journal

IEEE ACCESS
Volume 8, Issue -, Pages 62785-62799

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2020.2983716

Keywords

Image encryption; chaotic map; interference matrix; security

Funding

  1. National Natural Science Foundation of China [61701043, 41874140]
  2. Fundamental Research Funds for the Central Universities [300102240205, 300102249318]

Ask authors/readers for more resources

In this paper, a novel high security plaintext-related dynamical image encryption algorithm is proposed. Compared with the classical permutation-diffusion encryption architecture, we add the combination operation before the diffusion, which uses the 3D intertwining Logistic map (3D-ILM) to generate dynamic interference matrix with the same size of the grayscale plaintext image, and then combine the permutated image with interference matrix. It can be seen as an improvement to enhance the connection between permutation and diffusion operation, which makes adversaries are difficult to crack the permutation and diffusion algorithm separately. Besides, the permutated pixels are hidden in the dynamic interference matrix during the combination process, which reduces the correlation among local adjacent pixels. Thus, it can increase the resistance of chosen-plaintext attack. After the permutation, combination, and diffusion operation, a dynamic color cipher image is generated. Note that the generated color cipher image is dynamic changing even the same plaintext image is encrypted with identical secret keys. Ultimately, simulation results and security analysis show that the proposed algorithm has high-security performance and can resist most known common 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