新的乘法后勤地图的混乱
Shilong Gao1,2, Bixia Kan3
1College of Mathematics and Statistics, Leshan Normal University, Leshan, 614000, China. lunan1027@126.com.
Scientific reports
|December 15, 2025
概括
一个新的乘法物流地图提供了增强的混乱动态和比经典版本更广泛的输出范围. 这种改进的混乱地图显示了由于其灵活性和稳定性而对先进的加密应用程序的承诺.
科学领域:
- 动态系统和混沌理论
- 数学理论和密码学 数学理论和密码学
背景情况:
- 经典的物流地图是混沌理论的一个基本模型.
- 有限的动态范围和参数灵活性限制了其在先进密码学中的应用.
研究的目的:
- 引入一种具有扩展动态能力的新型乘法物流地图.
- 分析其混乱的行为,并评估其适合图像加密.
主要方法:
- 从乘法微积分原理的推导.
- 理论分析包括稳定性和横向性条件.
- 使用分叉图,蜘蛛网和时间序列图的数值模拟.
主要成果:
- 乘法后勤地图展示了一个周期翻倍的分叉级联,导致混乱.
- 它显示了更广泛的混乱区域和超过[0,1]的输出范围.
- 图像加密算法表现出对统计攻击的强烈抵抗力和优越的参数稳定性.
结论:
- 拟议的多重物流地图具有增强的混乱动态和灵活性.
- 它的独特特性使其成为安全图像加密的强大候选人.
- 扩展范围和稳定性在加密应用中比经典的物流地图提供了优势.
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