Toggle Main Menu Toggle Search

Open Access padlockePrints

The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Asymmetric image encryption algorithm based on a new three-dimensional improved logistic chaotic map

Lookup NU author(s): Dr Syh Yuan TanORCiD

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Abstract

© 2023 Chinese Physical Society and IOP Publishing Ltd.Based on some analyses of existing chaotic image encryption frameworks and a new designed three-dimensional improved logistic chaotic map (3D-ILM), an asymmetric image encryption algorithm using public-key Rivest-Shamir-Adleman (RSA) is presented in this paper. In the first stage, a new 3D-ILM is proposed to enhance the chaotic behavior considering analysis of time sequence, Lyapunov exponent, and Shannon entropy. In the second stage, combined with the public key RSA algorithm, a new key acquisition mathematical model (MKA) is constructed to obtain the initial keys for the 3D-ILM. Consequently, the key stream can be produced depending on the plain image for a higher security. Moreover, a novel process model (NPM) for the input of the 3D-ILM is built, which is built to improve the distribution uniformity of the chaotic sequence. In the third stage, to encrypt the plain image, a pre-process by exclusive OR (XOR) operation with a random matrix is applied. Then, the pre-processed image is performed by a permutation for rows, a downward modulo function for adjacent pixels, a permutation for columns, a forward direction XOR addition-modulo diffusion, and a backward direction XOR addition-modulo diffusion to achieve the final cipher image. Moreover, experiments show that the the proposed algorithm has a better performance. Especially, the number of pixels change rate (NPCR) is close to ideal case 99.6094%, with the unified average changing intensity (UACI) close to 33.4634%, and the information entropy (IE) close to 8.


Publication metadata

Author(s): Ye G-D, Wu H-S, Huang X-L, Tan S-Y

Publication type: Article

Publication status: Published

Journal: Chinese Physics B

Year: 2023

Volume: 32

Issue: 3

Print publication date: 01/03/2023

Online publication date: 02/07/2022

Acceptance date: 02/07/2022

ISSN (print): 1674-1056

ISSN (electronic): 2058-3834

Publisher: Institute of Physics

URL: https://doi.org/10.1088/1674-1056/ac7dbb

DOI: 10.1088/1674-1056/ac7dbb


Altmetrics

Altmetrics provided by Altmetric


Share