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以高维混沌动力学系统为基础,将系统所对应的原始密钥经过粗粒化复合处理,其输出用作伪随机序列,这样即保留了混沌伪随机数发生器作为理想信息源的统计特性和随机特性,也在很大程度上增加了密钥的复杂性和利用重构、回归等攻击手段进行破译的难度。基于以上混沌伪随机数发生器构建的数据加/解密方案,经过理论分析和数值实验,已经证明了该方案的有效性。
Based on the high-dimensional chaotic dynamical system, the original key corresponding to the system is coarse-grained and the output is used as a pseudo-random sequence, thus preserving the statistical properties of the chaotic pseudo-random number generator as the ideal information source and Random features, but also to a large extent increased the complexity of the key and the use of reconstruction, regression and other means of attack to decipher the difficulty. Based on the data encryption / decryption scheme constructed by the above chaotic pseudo-random number generator, the validity of this scheme has been proved through theoretical analysis and numerical experiments.