Title: Image encryption based on 3D Arnold and elementary cellular automata method

Authors: Rui Yang; Lijuan Feng; Jiangjiang Li

Addresses: School of Electronic and Electrical Engineering, Zhengzhou University of Science and Technology, Zhengzhou 450000, China; Intelligent Information Processing and Control Engineering Technology Research Center of Henan Province, Zhengzhou 450000, China ' School of Electronic and Electrical Engineering, Zhengzhou University of Science and Technology, Zhengzhou 450000, China ' School of Electronic and Electrical Engineering, Zhengzhou University of Science and Technology, Zhengzhou 450000, China

Abstract: The traditional image encryption methods have some problems, such as poor security and inefficient encryption. This paper proposes a new image encryption method based on 3D Arnold-oriented elementary cellular automata. The new image encryption method first uses 3D Arnold to scramble pixel positions. Then, the elementary cellular automata based on quad-tree decomposition is used to further confuse the scrambled images at the specific level to obtain ciphertext images. The experiment results show that this new method can achieve good encryption effect with fewer iteration times and has strong sensitivity to plaintext and key. It also can effectively resist differential attack.

Keywords: image encryption; elementary cellular automata; ECA; 3D Arnold; quad-tree decomposition.

DOI: 10.1504/IJESDF.2024.136017

International Journal of Electronic Security and Digital Forensics, 2024 Vol.16 No.1, pp.97 - 111

Received: 10 Oct 2022
Accepted: 15 Nov 2022
Published online: 12 Jan 2024 *

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