Chengye Zou , Yubao Shang , Yongwei Yang , Changjun Zhou , Yunong Liu
{"title":"A novel image encryption algorithm with anti-tampering attack capability","authors":"Chengye Zou , Yubao Shang , Yongwei Yang , Changjun Zhou , Yunong Liu","doi":"10.1016/j.chaos.2024.115638","DOIUrl":null,"url":null,"abstract":"<div><div>Image encryption is essential for safeguarding unauthorized access to visual content. However, with the emergence of numerous image encryption algorithms, it has become apparent that these algorithms often lack mechanisms to safeguard encrypted images from tampering, making it difficult to detect any changes that may occur during transmission or storage. Additionally, the limitations of permutation-diffusion model encryption algorithms have become increasingly apparent. While many existing algorithms attempt to resist differential attacks through the use of “one-time keys” or “multi-round diffusion” techniques, these approaches often result in increased complexity and reduced time efficiency. In this paper, we present an improved chaotic system and leverage it to develop a novel image encryption algorithm with inherent anti-tampering capabilities. This algorithm replaces the traditional one-time key with a fixed key, thereby enhancing security while also improving encryption efficiency. Furthermore, we integrate watermarking technology to address the challenges of detecting image tampering during storage and transmission. Experimental results demonstrate that the proposed algorithm exhibits robust performance, effectively resisting various forms of attacks while maintaining strong anti-tampering capabilities.</div></div>","PeriodicalId":9764,"journal":{"name":"Chaos Solitons & Fractals","volume":null,"pages":null},"PeriodicalIF":5.3000,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chaos Solitons & Fractals","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0960077924011901","RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Image encryption is essential for safeguarding unauthorized access to visual content. However, with the emergence of numerous image encryption algorithms, it has become apparent that these algorithms often lack mechanisms to safeguard encrypted images from tampering, making it difficult to detect any changes that may occur during transmission or storage. Additionally, the limitations of permutation-diffusion model encryption algorithms have become increasingly apparent. While many existing algorithms attempt to resist differential attacks through the use of “one-time keys” or “multi-round diffusion” techniques, these approaches often result in increased complexity and reduced time efficiency. In this paper, we present an improved chaotic system and leverage it to develop a novel image encryption algorithm with inherent anti-tampering capabilities. This algorithm replaces the traditional one-time key with a fixed key, thereby enhancing security while also improving encryption efficiency. Furthermore, we integrate watermarking technology to address the challenges of detecting image tampering during storage and transmission. Experimental results demonstrate that the proposed algorithm exhibits robust performance, effectively resisting various forms of attacks while maintaining strong anti-tampering capabilities.
期刊介绍:
Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.