https://doi.org/10.1140/epjs/s11734-023-00953-y
Regular Article
Image encryption based on 2D-SAHM chaotic system and a novel DNA operation rule
1
College of Information and Communication Engineering, Harbin Engineering University, 150001, Harbin, Heilongjiang, China
2
Key Laboratory of Advanced Marine Communication and Information Technology, Harbin Engineering University, Ministry of Industry and Information Technology, 150001, Harbin, Heilongjiang, China
3
National Key Laboratory of Underwater Acoustic Technology, Harbin Engineering University, 150001, Harbin, Heilongjiang, China
4
Sichuan Key Laboratory of Agile Intelligent Computing, Southwest China Institute of Electronic Technology, 610036, Chengdu, Sichuan, China
Received:
20
March
2023
Accepted:
19
July
2023
Published online:
16
August
2023
With the continuous development of information technology, ensuring information security has become an important issue. As a widely used multimedia tool, images often face the risk of leakage. Therefore, this paper proposes an image encryption algorithm based on 2D-SAHM chaotic system and a new DNA operation rule. The algorithm first constructs a new chaotic system 2D-SAHM, which has better chaotic characteristics and can generate more random chaotic sequences than the traditional low-dimensional chaotic system. And then, on the basis of this system, the algorithm scrambles and diffuses the image. In the scrambling stage, the whole image is converted into a one-dimensional pixel matrix and divided into several sub-images by double Joseph scrambling. In the diffusion stage, to solve the problem that traditional DNA encryption relies too much on chaotic sequences, this paper proposes a new DNA operation rule. This rule determines the operation symbol of DNA by the type of amino acid, which improves the randomness of the algorithm. The final simulation results and performance analysis show that the algorithm has high security and strong anti-interference ability.
Youxin Ye and Yang Liu have contributed equally to this work.
Copyright comment Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.