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信息理论医学图像加密通过LLE验证的混沌键流和DNA扩散
Ibrahim Al-Dayel1, Muhammad Faisal Nadeem2, Yasir Bashir3
1Department of Mathematics and Statistics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11566, Saudi Arabia.
Entropy (Basel, Switzerland)
|November 26, 2025
概括
本研究介绍了一种使用混乱地图和LSTM神经网络的新型加密方法,用于安全的关键流生成. 该方案通过信息理论分析和强大的解密性能证明了高安全性.
科学领域:
- 密码学和信息安全信息安全
- 应用数学和计算科学应用数学和计算科学
- 人工智能和机器学习
背景情况:
- 传统的加密方法面临着不断变化的安全威胁.
- 在安全通信中需要强大的键流生成.
- 利用混乱系统和神经网络来提高安全性.
研究的目的:
- 提出和评估一个新的信息理论加密方案.
- 为了利用四维混乱地图和LSTM神经网络来生成关键流.
- 分析拟议的加密方案的安全性和性能.
主要方法:
- 一个四维的混乱地图驱动器与LSTM神经网络相结合,用于关键流生成.
- 安全分析涉及换阶段,以消除空间冗余和可逆DNA交叉扩散.
- 使用香农,像素相互关联和差异分析 (NPCR,UACI) 的评估.
- 关键空间分析和解密有效性的评估.
主要成果:
- 主流生成受最大利亚普诺夫指数 (LLE) 测试限制.
- 高尚农 (7.99-8.00位/通道),表示低不确定性.
- 通过低像素相互关联和强大的差异性攻击阻力 (NPCR ≈ 99.6%,UACI ≈ 33.3%) 显示的有效脱相关性.
- 广泛的密钥空间 (顺序≈ 2^384) 确保了强大的安全性和完美的解密能力.
结论:
- 拟议的加密方案提供强大的安全性和高性能.
- 混沌验证显著提高了关键流的统计属性.
- 混沌地图和LSTM网络的结合为现代加密提供了一个有希望的方法.
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