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一个基于一维复合正弦形混沌地图的彩色图像的部门快速加密算法
Ye Tao1,2,3, Wenhua Cui1,2,3, Shanshan Wang4
1School of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan, China.
PloS one
|January 24, 2025
概括
这项研究介绍了一种新的彩色图像加密算法,使用一维复合正弦混沌映射 (CSCM) 来实现大数据时代更快,更高效的安全性. 拟议的方法显著提高了加密速度,同时保持了针对各种攻击的强大安全性.
科学领域:
- 计算机科学 计算机科学
- 信息安全 信息安全
- 应用数学 应用数学 应用数学
背景情况:
- 图像安全对于数据传输和存储至关重要.
- 基于混沌理论的图像加密算法提供了增强的安全性.
- 现有的算法面临着大数据的速度和效率方面的挑战.
研究的目的:
- 为大数据时代开发一个快速的彩色图像加密算法.
- 为了提高彩色图像的加密和解密速度.
- 提高图像加密的整体效率和安全性.
主要方法:
- 通过将基本的混乱地图与正弦运算相结合,提出了一维复合正弦混沌映射 (CSCM).
- 使用利亚普诺夫指数和NIST SP 800-22测试选择和验证了最好的混乱映射 (LCS和SCS).
- 实现了并行加密过程,使用风扇形的扩散和混技术来提高速度.
主要成果:
- 实现了显著改善的加密和解密速度.
- 证明了一个大的键空间 (2^192) 和高的平均信息 (7.9994).
- 展现出强大的安全性能,平均NPCR (99.6172) 和UACI (33.4646) 高.
结论:
- 拟议的基于CSCM的算法为彩色图像加密提供了速度和效率的大幅提高.
- 该算法提供了强大的安全性,有效地抵御了诸如耗尽,差异和噪音攻击等常见攻击.
- 这种方法非常适合在大数据环境中保护彩色图像.
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