Work

Cross-channel image chain scrambling encryption algorithm using two memristor-based twin multi-scroll hyperchaotic systems

Year: 2025

Type: article

Abstract: This paper proposes a cross-channel image chain scrambling encryption algorithm based on two 5D memristive twin multi-scroll hyperchaotic systems. Firstly, two flux-controlled memristor models are introduced based on the simplification of Chua's system, and two 5D memristive twin multi-scroll hyperchaotic systems are designed by inputting different flux variables. The twin 5D memristive multi-scroll hyperchaotic systems exhibit the characteristics of variable scroll numbers and different topological structures. Secondly, a fractal-like cross-channel encryption algorithm is proposed, which combines cross-channel scrambling of sub-image and Zigzag transformation. Based on comprehensive experimental analysis, the results reveal that the key space is determined to be 2 525 , the information entropy of the ciphertext images across three channels approaches 7.9994, and the pixel correlation is reduced to nearly zero. Furthermore, NPCR and UACI exhibit values close to their theoretical benchmarks of 99.6094 % and 33.4635 %, respectively, highlighting the superior performance of the proposed encryption algorithm in terms of robustness and security.

Source: Integration

DOI: 10.1016/j.vlsi.2025.102564

Authors: Zhenju Wang, Cong Wang, Ping Ma, Hongli Zhang, Shaohua Zhang

Institution: Xinjiang University

Language: English

Topic: Chaos-based Image/Signal Encryption

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $2,230

Funder: National Natural Science Foundation of China