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Color multiple image encryption scheme based on 3D-chaotic maps
Mathematics and Computers in Simulation ( IF 4.6 ) Pub Date : 2020-12-01 , DOI: 10.1016/j.matcom.2020.07.007
Dania Saleem Malik , Tariq Shah

Abstract In many research areas, production of images is increasing with every day. These days, the prime focus of researchers is on the security of digital images. Motivated by gray multiple image encryption algorithms, this paper suggests a novel Chaos-based color multiple image encryption technique. A 3D histogram equalization method has been applied to equalize the chaotic sequences histograms of Lorenz system. Confusion/diffusion of image data has been implemented by using sequences generated by histogram equalized Lorenz and Rossler system. In confusion stage, the input image colored pixels have been scrambled. Then in diffusion stage, pixel replacement is done by scrambled images and sequences of Rossler system. The proposed scheme efficiency is validated via key sensitivity, key space, entropy, horizontal, vertical, diagonal correlation, UACI and NPCR tests. Furthermore, the overall security analysis and experimental results show that the proposed encryption technique has achieved confidentiality and have resistance against classical attacks.

中文翻译:

基于3D-混沌图的彩色多图像加密方案

摘要 在许多研究领域,图像的产生每天都在增加。如今,研究人员的主要关注点是数字图像的安全性。受灰度多重图像加密算法的启发,本文提出了一种新颖的基于混沌的彩色多重图像加密技术。一种3D直方图均衡方法已被应用于均衡Lorenz系统的混沌序列直方图。图像数据的混淆/扩散是通过使用直方图均衡洛伦兹和罗斯勒系统生成的序列来实现的。在混淆阶段,输入图像的彩色像素已被打乱。然后在扩散阶段,通过Rossler系统的加扰图像和序列进行像素替换。通过密钥灵敏度、密钥空间、熵、水平、垂直、对角线相关性来验证所提出的方案效率,UACI 和 NPCR 测试。此外,整体安全性分析和实验结果表明,所提出的加密技术实现了保密性并具有抵抗经典攻击的能力。
更新日期:2020-12-01
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