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Generation of Pseudo-Random Numbers by Chaos-Type Function and Its Application to Cryptosystems

机译:混沌类型函数生成伪随机数及其在密码系统中的应用

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摘要

The logistic map is known to be one of the nonlinear difference equations as a chaos map, and to generate pseudo-random numbers. However, since the chaos has a highly sensitive dependence on initial conditions and accumulates inevitable round-off errors caused by iterating the map, the numerical generation of exact chaotic time series is said to be impossible. The aim of this paper is, first, to propose an algorithm to generate exact chaotic time series of a chaos-type function derived from the exact chaos solution. Next, the pseudo-random numbers are evaluated by four tests and the accumulation of chi-square values. Also, an application to cryptosystems, which do not need the synchronization in usual computer environments, is considered.
机译:逻辑映射作为混沌映射是非线性差分方程之一,并生成伪随机数。但是,由于混沌对初始条件具有高度敏感的依赖性,并且由于迭代图而积累了不可避免的舍入误差,因此,无法精确地生成精确的混沌时间序列。本文的目的是,首先,提出一种算法,该算法可生成从精确混沌解导出的混沌类型函数的精确混沌时间序列。接下来,通过四个测试和卡方值的累加来评估伪随机数。另外,考虑了在通常的计算机环境中不需要同步的密码系统应用。

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