{"title":"Color image encryption scheme based on 5D fractional-order complex chaotic system and eight-base DNA cubes","authors":"Liming Wu , Zijian Tian , Wei Chen","doi":"10.1016/j.eswa.2025.129950","DOIUrl":null,"url":null,"abstract":"<div><div>With the rapid development of information technology, the secure transmission of color images has become an urgent problem. In order to overcome this problem, this paper proposes a high-security color image encryption algorithm. First, a five-dimensional fractional-order complex chaotic system is designed, and its dynamics are comprehensively analyzed from the perspectives of Lyapunov exponent spectrum, bifurcation diagram, and phase diagram. The results prove that the system has good chaotic characteristics. Second, a dynamic Arnold scrambling algorithm is designed, which dynamically generates scrambling parameters by calculating the pixel values of each channel of an image. Then, combined the eight-base DNA coding scheme with a three-dimensional cube structure, a space rotation-based scrambling method and a diffusion method integrating DNA mutation and crossover operations were designed under chaotic sequence control, thereby enhancing the nonlinearity and security of the encryption system. Finally, simulation experiments and security analysis indicate that the proposed color image encryption scheme provides high security and strong key sensitivity. It effectively scrambles pixel distributions, demonstrating robustness against statistical, noise, and cropping attacks, while maintaining efficient computational performance. These results demonstrate its effectiveness for secure digital image transmission.</div></div>","PeriodicalId":50461,"journal":{"name":"Expert Systems with Applications","volume":"299 ","pages":"Article 129950"},"PeriodicalIF":7.5000,"publicationDate":"2025-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Expert Systems with Applications","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0957417425035651","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
Abstract
With the rapid development of information technology, the secure transmission of color images has become an urgent problem. In order to overcome this problem, this paper proposes a high-security color image encryption algorithm. First, a five-dimensional fractional-order complex chaotic system is designed, and its dynamics are comprehensively analyzed from the perspectives of Lyapunov exponent spectrum, bifurcation diagram, and phase diagram. The results prove that the system has good chaotic characteristics. Second, a dynamic Arnold scrambling algorithm is designed, which dynamically generates scrambling parameters by calculating the pixel values of each channel of an image. Then, combined the eight-base DNA coding scheme with a three-dimensional cube structure, a space rotation-based scrambling method and a diffusion method integrating DNA mutation and crossover operations were designed under chaotic sequence control, thereby enhancing the nonlinearity and security of the encryption system. Finally, simulation experiments and security analysis indicate that the proposed color image encryption scheme provides high security and strong key sensitivity. It effectively scrambles pixel distributions, demonstrating robustness against statistical, noise, and cropping attacks, while maintaining efficient computational performance. These results demonstrate its effectiveness for secure digital image transmission.
期刊介绍:
Expert Systems With Applications is an international journal dedicated to the exchange of information on expert and intelligent systems used globally in industry, government, and universities. The journal emphasizes original papers covering the design, development, testing, implementation, and management of these systems, offering practical guidelines. It spans various sectors such as finance, engineering, marketing, law, project management, information management, medicine, and more. The journal also welcomes papers on multi-agent systems, knowledge management, neural networks, knowledge discovery, data mining, and other related areas, excluding applications to military/defense systems.