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首页> 外文会议>International Conference on Computational Science(ICCS 2006) pt.1; 20060528-31; Reading(GB) >A Fast Pseudo Stochastic Sequence Quantification Algorithm Based on Chebyshev Map and Its Application in Data Encryption
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A Fast Pseudo Stochastic Sequence Quantification Algorithm Based on Chebyshev Map and Its Application in Data Encryption

机译：基于Chebyshev映射的快速伪随机序列量化算法及其在数据加密中的应用。

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摘要

Chaos theory has been widely used in cryptography fields in recent years and the performance of the pseudo stochastic sequence quantified from chaos map has great influence on the efficiency and security of an encryption system. In this paper, an improved stochastic middle multi-bits quantification algorithm based on Chebyshev map is proposed to enhance the ability of anti reconstruction a chaos system through reverse iteration and improve the performance of the generated sequence under precision restricted condition. The balance and correlation properties of the generated sequence are analyzed. The sequence is proved to be a binary Bernoulli sequence and the distribution of the differences between the amounts of 0 and 1 is analyzed. The side lobes of auto correlation and values of cross correlation are proved to obey normal distribution N (0, 1/N).
机译：近年来，混沌理论已经在密码学领域得到了广泛的应用，从混沌映射图量化的伪随机序列的性能对加密系统的效率和安全性有很大影响。提出了一种基于切比雪夫图的改进的随机中间多位量化算法，以提高通过逆迭代反抗混沌系统的能力，提高精度限制条件下生成序列的性能。分析了生成序列的平衡和相关性。证明该序列是二元伯努利序列，并分析了0和1数量之间的差异分布。证明自相关的旁瓣和互相关的值服从正态分布N（0，1 / N）。

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