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一个彩色图像加密方案,利用了物流-正弦混沌地图和蜂自动机

Shiji Sun^1,2, Wenzhong Yang^3,4, Yabo Yin^5,6

¹School of Computer Science and Technology (School of Cyberspace Security), Xinjiang University, Urumqi, 830046, China.

Scientific reports

|July 2, 2025

概括

本研究介绍了一种新的多层图像加密算法,使用了物流-正弦混沌地图 (LSCM) 和蜂自动机. 增强方法为5G环境中的视觉数据保护提供了卓越的安全性和稳定性.

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:

5G技术增加了视觉数据传输,要求增强隐私.
由于单层方法,现有的混乱加密方法缺乏安全性.
需要先进的算法来保护敏感的图像数据.

研究的目的:

开发一个安全和强大的多层图像加密算法.
为了解决单层混乱加密方法的局限性.
在网络环境中增强视觉数据隐私.

主要方法:

使用物流-正弦混沌地图 (LSCM) 来生成混乱序列.
实现蜂自动机,以增加复杂性和抗攻击能力.
采用多层加密策略,涉及通道分离和转换.

主要成果:

拟议的算法显示了高安全性和强大的稳定性,可以防止噪音和数据丢失.
与现有方法相比,在统计和相关性分析中表现优越.
有效的遮蔽和增加对攻击的抵抗力.

结论:

多层图像加密算法为视觉数据隐私提供了重要的应用价值.
集成LSCM和蜂自动机增强了加密安全性.
该算法非常适合在5G网络中保护敏感图像.

关键词:

蜂自动机是一个自动机.混乱的加密方式.图像加密图像加密后勤-sine地图地图多层加密多层加密.隐私保护隐私保护隐私保护

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