Work

A novel image encryption method based on improved two-dimensional logistic mapping and DNA computing

Year: 2024

Type: article

Abstract: In the digital era, the significance of cryptographic algorithms has grown significantly within the realm of cybersecurity. This research presents an innovative approach to image encryption that eliminates the security limitations of the conventional one-dimensional logistic mapping. This approach relies on an enhanced two-dimensional logistic-fraction hybrid chaotic mapping (2D-LFHCM) and deoxyribonucleic acid (DNA) computing. Initially, the improved 2D-LFHCM is utilized to effectively scramble the image by incorporating chaotic sequences. Then, two novel algebraic DNA computing rules are introduced to enhance diffusion encryption. Experimental findings show that this approach offers superior security performance, even with renowned attacks.

Source: Frontiers in Physics

DOI: 10.3389/fphy.2024.1469418

Authors: Yuanlin Chen, Tianxiu Lu, Caiwen Chen, Yi Xiang

Institution: Sichuan University of Science and Engineering

Language: English

Topic: Chaos-based Image/Signal Encryption

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,795

Funders: Sichuan University of Science and Engineering, Sichuan University, Natural Science Foundation of Sichuan Province