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Extended Logistic Chaotic Sequence and Its Performance Analysis

机译:扩展Logistic混沌序列及其性能分析。

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摘要

In order to improve performance and security of image encryption algorithm effectively based on chaotic sequences, an extended chaotic sequence generating method is presented based on logistic chaotic system using Bernstein form Bezier curve generating algorithm. In order to test the pseudorandom performance of the extended chaotic sequence, we also analyze random performance, autocorrelation performance, and balance performance of the extended chaotic sequence. Simulation results show that the extended chaotic sequence generated using our method is pseudorandom and its correlation performance and balance performance are good. As an application, we apply the extended chaotic sequence in image encryption algorithm, the simulation results show that the performance of the encrypted image using our method is better than that using logistic chaotic sequence.
机译:为了有效地提高基于混沌序列的图像加密算法的性能和安全性,提出了一种基于逻辑混沌系统的扩展混沌序列生成方法,该方法采用了伯恩斯坦形式贝塞尔曲线生成算法。为了测试扩展混沌序列的伪随机性能,我们还分析了扩展混沌序列的随机性能,自相关性能和平衡性能。仿真结果表明,该方法生成的扩展混沌序列是伪随机的,其相关性能和平衡性能良好。作为一种应用,我们将扩展混沌序列应用于图像加密算法中,仿真结果表明,使用我们的方法加密后的图像的性能要优于使用逻辑混沌序列。

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