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Tools for designing chaotic systems for secure random numbergeneration

机译:用于设计用于安全随机数生成的混沌系统的工具

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It is well known that the output of chaotic systems can be completely predicted from the exert knowledge of the initial conditions. However, their extreme sensitivity to initial conditions lends itself to being exploited for generation of random numbers. This work explores this possibility and gives a simple circuit arrangement, together with the tools necessary to assess the random characteristics of its output. The fact that the statistical characteristics of a chaotic system can be determined through spectral analysis of an evolution operator is shown. Numerical techniques for practical estimation of this operator are presented. Special attention is paid to robustness both with respect to numerical approximation and circuit tolerances. Error bounds of practical significance are given. One example of the proposed method and results is given. The results presented are valid for generic sampled chaotic systems and can also be used for applications other than random number generation, e.g., chaotic communications
机译:众所周知,可以从对初始条件的掌握知识中完全预测出混沌系统的输出。但是,它们对初始条件的极端敏感性使其易于被利用来生成随机数。这项工作探索了这种可能性,并给出了简单的电路布置以及评估其输出的随机特性所需的工具。示出了可以通过进化算子的频谱分析来确定混沌系统的统计特性的事实。提出了对该算子进行实际估计的数值技术。在数值逼近和电路公差方面都特别注意了鲁棒性。给出了具有实际意义的误差范围。给出了所提出的方法和结果的一个例子。给出的结果对通用采样混沌系统有效,也可以用于随机数生成以外的应用,例如混沌通信

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