增强彩色图像的安全性:利用动态混沌三维系统和鲁棒性安全分析进行加密

Zainab Hasan Thabit, Sadiq A. Mehdi, Bashar M. Nema
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摘要

科技的飞速发展和互联网的广泛使用,导致在公共网络上共享多媒体(文本、图像、视频和音频)的数量激增。保护这些数据至关重要,需要加密来防止未经授权的访问。图像加密会扭曲图像以确保安全。本文强调了加密在保护多媒体方面的重要作用,尤其是在互联网使用和媒体交换日益增多的情况下。本文介绍了一种新颖的解决方案:用于彩色图像加密的混沌三维系统。研究使用数学软件对系统特征进行了仔细研究。它采用了一种新的混沌系统,为像素加扰生成了一个关键的密钥序列。利用流密码加密增强了安全性。广泛的安全分析测试了系统对直方图和相关技术等攻击的抵御能力。结果令人欣喜:直方图相当均匀,像素之间的相关性最小,接近零,熵接近理想值。NPCR 和 UACI 等指标几乎符合理想值,确保了高度安全性。实验证实了它在加密各种彩色图像时的有效性。该方法保证了均匀的直方图、接近零的最小像素相关性、接近理想值(8)的熵,以及接近理想值的 NPCR/UACI 值(分别为 99.61191% 和 33.41068%)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing Color Image Security: Encryption with Dynamic Chaotic Three-Dimensional System and Robust Security Analysis
The rapid tech growth and widespread internet usage caused a surge in sharing multimedia (text, images, videos, audio) across public networks. Protecting this data is vital, demanding encryption to prevent unauthorized access. Image encryption distorts images for security. This paper highlights encryption's vital role in safeguarding multimedia, especially amid rising internet use and media exchange. It introduces a novel solution: a chaotic three-dimensional system for color image encryption. The study scrutinizes system traits using math software. It employs a new chaotic system to generate a crucial key sequence for pixel scrambling. Utilizing stream cipher encryption enhances security. Extensive security analysis tests its resilience against attacks like histogram and correlation techniques. Results are promising: a fairly uniform histogram, minimal correlation among pixels nearing zero, and entropy close to the ideal. Metrics like NPCR and UACI almost match ideal values, ensuring high security. Experiments confirm its effectiveness in encrypting diverse color images. The approach guarantees a uniform histogram, minimal pixel correlation nearing zero, entropy near the ideal value (8), and NPCR/UACI values close to ideals (99.61191% and 33.41068% respectively).
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