遍历性
李雅普诺夫指数
数学
非周期图
随机性
混乱的
二次方程
熵(时间箭头)
统计物理学
指数函数
伪随机数发生器
应用数学
算法
计算机科学
数学分析
组合数学
物理
统计
几何学
量子力学
人工智能
作者
Yuanyuan Si,Hongjun Liu,Yuehui Chen
标识
DOI:10.1142/s021812742250095x
摘要
Some weaknesses of 1D chaotic maps, such as lacking of ergodicity, multiple bifurcations, dense periodic windows, and short iteration period, limit their practical applications in cryptography. A higher-dimensional chaotic map with ergodicity can solve these problems. Based on 1D quadratic map, a 3D exponential hyperchaotic map (3D-EHCM) is constructed, and its dynamic behaviors, such as phase diagram, Lyapunov exponent spectrum, Kolmogorov entropy (KE), correlation dimension, approximate entropy and randomness, are analyzed and tested. The results demonstrate that the 3D-EHCM has ergodicity in a larger range of control parameter, and its state points have a longer period. To counteract dynamical degradation and make it suitable for a PRNG, the periodic point detection and random impulsive perturbation are applied to lengthen the aperiodic time sequence, and statistical results demonstrate that a full-period sequence can be obtained.
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