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相关概念视频

Sequence Networks of Rotating Machines01:24

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The property of Accumulation in signal processing is derived by analyzing the accumulated sum of a discrete-time signal and using the time-shifting property to determine its z-transform. This principle reveals that the z-transform of the summed signal is related to the z-transform of the original signal by a multiplicative factor.
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相关实验视频

Updated: Sep 18, 2025

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强大的图像加密使用2D超混沌地图和动态DNA-Zigzag编码.

Haijun Zhang1,2, Xiaojiao Liu2, Kehan Chen2

  • 1Chongqing Research Institute, Changchun University of Science and Technology, Chongqing 401135, China.

Entropy (Basel, Switzerland)
|June 26, 2025
PubMed
概括
此摘要是机器生成的。

一个新的二维指数-对数-正弦混沌地图 (2D-ELSCM) 为安全的图像加密提供了强大的随机性. 拟议的方案使用DNA编码和Zigzag转换来提供强大的数据保护.

关键词:
编码是DNA的zigzag编码.超混沌地图是一个超混沌地图.图像加密 图像加密混杂算法 混杂算法 混杂算法

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科学领域:

  • 密码学和信息安全信息安全
  • 应用数学 应用数学 应用数学
  • 计算机科学 计算机科学

背景情况:

  • 由于其复杂的动态,混乱地图对于安全加密至关重要.
  • 现有的混乱地图往往缺乏足够的随机性或复杂性,以满足高级安全需求.
  • 图像加密需要强大的方法来保护敏感的视觉数据.

研究的目的:

  • 介绍一张新的二维超混沌地图,即二维指数-对数-正弦混沌地图 (2D-ELSCM).
  • 开发和评估基于2D-ELSCM的安全图像加密方案.
  • 对各种安全指标和潜在攻击来评估加密方案的性能.

主要方法:

  • 使用指数函数,对数函数和正弦函数设计的2D-ELSCM.
  • 使用最大利亚普诺夫指数 (LLE),变 (PE),样本 (SE),科尔摩戈罗夫 (KE) 和0-1测试来评估混乱属性.
  • 实现了一种图像加密方案,其中包括改进的Knuth-Durstenfeld shuffle (IKDS),DNA编码和Zigzag转换.
  • 使用纯文本和外部密钥的SHA-512哈希生成混乱地图初始条件.

主要成果:

  • 2D-ELSCM证明了高混乱度,其中LLE=8.3175,PE=0.9998,SE=1.9826,KE=2.1117,0-1的测试结果=0.9970.
  • 该地图成功通过了NIST的随机性测试,证实了它的复杂性.
  • 加密方案实现了接近零的相关系数,加密图像的NPCR平均值为99.6090%,UACI为33.4707%.
  • 该方案表现出强大的抗攻击能力和出色的加密质量.

结论:

  • 2D-ELSCM是一个高度随机和复杂的混乱地图,适合加密应用.
  • 拟议的图像加密方案提供了显著的安全改进和稳定性.
  • 新的混乱地图和先进的加密技术的整合为安全的图像传输和存储提供了有前途的解决方案.