{"title":"Efficient and secure image compression and encryption based on compressive sensing and four-dimensional hyperchaotic system","authors":"Ming Yao , Hongwei Deng , Zhong Chen , Pan Zhang","doi":"10.1016/j.ins.2025.122430","DOIUrl":null,"url":null,"abstract":"<div><div>With the growing awareness of privacy protection, the security of image data during network transmission has become a focal point of concern. Reducing computational complexity and improving transmission efficiency while meeting high-security requirements has become a primary focus of current research. To address this, we propose a novel image privacy protection scheme that combines compressive sensing with chaotic encryption, aiming to ensure image privacy and security while enhancing transmission and storage efficiency. We employ compressive sensing technology to achieve efficient compression of image data. Unlike traditional compression and encryption schemes, the proposed method does not require explicit sparsification preprocessing, thereby avoiding the complex operations introduced by signal transformations and simplifying the signal recovery process. To enhance encryption security, a four-dimensional hyperchaotic system with stronger chaotic properties is designed to generate highly random and unpredictable key streams, ensuring the security of the encrypted data. Furthermore, this paper combines disjoint Latin squares with fractal generation strategies to design a new fractal index matrix, based on which a novel image permutation scheme is proposed. This scheme effectively eliminates the linear relationships and correlations between adjacent pixels, achieving global pixel permutation. Coupled with the proposed dual-channel bidirectional diffusion structure, the algorithm effectively diffuses pixel information across the entire image, increasing the complexity and unpredictability of the image encryption process. Experimental results indicate that the proposed algorithm exhibits excellent performance in terms of compression efficiency, encryption effectiveness, and resistance to attacks, providing a highly efficient and reliable solution in the field of image compression and encryption.</div></div>","PeriodicalId":51063,"journal":{"name":"Information Sciences","volume":"719 ","pages":"Article 122430"},"PeriodicalIF":6.8000,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Sciences","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0020025525005626","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
With the growing awareness of privacy protection, the security of image data during network transmission has become a focal point of concern. Reducing computational complexity and improving transmission efficiency while meeting high-security requirements has become a primary focus of current research. To address this, we propose a novel image privacy protection scheme that combines compressive sensing with chaotic encryption, aiming to ensure image privacy and security while enhancing transmission and storage efficiency. We employ compressive sensing technology to achieve efficient compression of image data. Unlike traditional compression and encryption schemes, the proposed method does not require explicit sparsification preprocessing, thereby avoiding the complex operations introduced by signal transformations and simplifying the signal recovery process. To enhance encryption security, a four-dimensional hyperchaotic system with stronger chaotic properties is designed to generate highly random and unpredictable key streams, ensuring the security of the encrypted data. Furthermore, this paper combines disjoint Latin squares with fractal generation strategies to design a new fractal index matrix, based on which a novel image permutation scheme is proposed. This scheme effectively eliminates the linear relationships and correlations between adjacent pixels, achieving global pixel permutation. Coupled with the proposed dual-channel bidirectional diffusion structure, the algorithm effectively diffuses pixel information across the entire image, increasing the complexity and unpredictability of the image encryption process. Experimental results indicate that the proposed algorithm exhibits excellent performance in terms of compression efficiency, encryption effectiveness, and resistance to attacks, providing a highly efficient and reliable solution in the field of image compression and encryption.
期刊介绍:
Informatics and Computer Science Intelligent Systems Applications is an esteemed international journal that focuses on publishing original and creative research findings in the field of information sciences. We also feature a limited number of timely tutorial and surveying contributions.
Our journal aims to cater to a diverse audience, including researchers, developers, managers, strategic planners, graduate students, and anyone interested in staying up-to-date with cutting-edge research in information science, knowledge engineering, and intelligent systems. While readers are expected to share a common interest in information science, they come from varying backgrounds such as engineering, mathematics, statistics, physics, computer science, cell biology, molecular biology, management science, cognitive science, neurobiology, behavioral sciences, and biochemistry.