{"title":"Multiple-image encryption algorithm based on S-boxes and DNA sequences","authors":"Muhammad Umair Safdar , Tariq Shah , Asif Ali","doi":"10.1016/j.image.2025.117353","DOIUrl":null,"url":null,"abstract":"<div><div>Image encryption is crucial for safeguarding sensitive visual data; however, traditional methods often encounter challenges regarding efficiency and adaptability to the unique characteristics of images. This research is motivated by the potential of ring-based algebraic structures to develop lightweight, secure, and efficient encryption schemes specifically designed for image data. The article presents a novel approach to image encryption in cryptography using a local ring algebraic structure. The proposed method involves encrypting multiple images by constructing substitution boxes from subsets, which are not subgroups but have identity and invertibility axioms. The challenge of using subsets for encryption purposes is addressed by taking unit elements of the ring, picking a subgroup, and splitting it into two subsets. The substitution box is generated by one of the subsets and used for the substitution process, while the other subset is mapped to the Galois field. It constructs the substitution box and is used for diffusion. A DNA sequence is applied to the red, green, and blue channels of the image, and a key is generated by hashing the image and using a subset of the subgroup of units of the ring. Finally, all channels are XORed with the key. The performance of the proposed scheme is evaluated using different analyses, and it is found that the scheme outperforms existing approaches. This approach presents a promising solution for image encryption in cryptography.</div></div>","PeriodicalId":49521,"journal":{"name":"Signal Processing-Image Communication","volume":"138 ","pages":"Article 117353"},"PeriodicalIF":3.4000,"publicationDate":"2025-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Signal Processing-Image Communication","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0923596525000992","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Image encryption is crucial for safeguarding sensitive visual data; however, traditional methods often encounter challenges regarding efficiency and adaptability to the unique characteristics of images. This research is motivated by the potential of ring-based algebraic structures to develop lightweight, secure, and efficient encryption schemes specifically designed for image data. The article presents a novel approach to image encryption in cryptography using a local ring algebraic structure. The proposed method involves encrypting multiple images by constructing substitution boxes from subsets, which are not subgroups but have identity and invertibility axioms. The challenge of using subsets for encryption purposes is addressed by taking unit elements of the ring, picking a subgroup, and splitting it into two subsets. The substitution box is generated by one of the subsets and used for the substitution process, while the other subset is mapped to the Galois field. It constructs the substitution box and is used for diffusion. A DNA sequence is applied to the red, green, and blue channels of the image, and a key is generated by hashing the image and using a subset of the subgroup of units of the ring. Finally, all channels are XORed with the key. The performance of the proposed scheme is evaluated using different analyses, and it is found that the scheme outperforms existing approaches. This approach presents a promising solution for image encryption in cryptography.
期刊介绍:
Signal Processing: Image Communication is an international journal for the development of the theory and practice of image communication. Its primary objectives are the following:
To present a forum for the advancement of theory and practice of image communication.
To stimulate cross-fertilization between areas similar in nature which have traditionally been separated, for example, various aspects of visual communications and information systems.
To contribute to a rapid information exchange between the industrial and academic environments.
The editorial policy and the technical content of the journal are the responsibility of the Editor-in-Chief, the Area Editors and the Advisory Editors. The Journal is self-supporting from subscription income and contains a minimum amount of advertisements. Advertisements are subject to the prior approval of the Editor-in-Chief. The journal welcomes contributions from every country in the world.
Signal Processing: Image Communication publishes articles relating to aspects of the design, implementation and use of image communication systems. The journal features original research work, tutorial and review articles, and accounts of practical developments.
Subjects of interest include image/video coding, 3D video representations and compression, 3D graphics and animation compression, HDTV and 3DTV systems, video adaptation, video over IP, peer-to-peer video networking, interactive visual communication, multi-user video conferencing, wireless video broadcasting and communication, visual surveillance, 2D and 3D image/video quality measures, pre/post processing, video restoration and super-resolution, multi-camera video analysis, motion analysis, content-based image/video indexing and retrieval, face and gesture processing, video synthesis, 2D and 3D image/video acquisition and display technologies, architectures for image/video processing and communication.