一个新的基于memristor的超混沌混合加密系统与DNA用于Jetson TX2上的图像加密
1Department of Computer Engineering, Yozgat Bozok University, Yozgat, Turkey. hasan.ulutas@yobu.edu.tr.
Scientific reports
|October 13, 2025
概括
本研究介绍了一种新的混合图像加密方法,使用混乱系统,流密码和DNA操作. 该安全方案为现代图像加密需求提供了高效率和稳定性.
科学领域:
- 网络安全 网络安全
- 应用密码学 应用密码学
- 信息安全 信息安全
背景情况:
- 传统的图像加密方法在平衡安全性和效率方面面临挑战.
- 在嵌入式和边缘计算环境中,对强大的加密的需求正在增长.
研究的目的:
- 提出一种新的混合图像加密方案.
- 为了提高图像加密的安全性,效率和稳定性.
主要方法:
- 一个多层架构,集成基于memristor的超混沌系统,Trivium流密码,DNA操作和3DES层.
- 分析信息,像素相关性和差异性攻击指标 (NPCR,UACI).
- 对抗噪声和数据丢失的稳定性评估,以及硬件实现.
主要成果:
- 加密图像的度接近理想值 (7.999).
- 邻近的像素相关性减少到接近零 (≈0.001).
- 获得了高NPCR (>99.58%) 和UACI (>33%) 值,显示出对差异性攻击的强烈抵抗力.
- 坚固性抵御高达20%的盐和胡噪声,降解最小.
- 通过NVIDIA Jetson TX2.2上的硬件实现确认了实用性.
结论:
- 拟议的混合图像加密方案提供了一个安全,高效和硬件友好的解决方案.
- 多种加密技术的整合使得性能优越.
- 该方案适用于现代图像加密应用,特别是在资源有限的环境中.
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