基于四维超混沌系统的语音加密

F. J. Farsana, K. Gopakumar
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引用次数: 6

摘要

提出了一种基于四维超混沌系统的语音加密方法。高阶混沌系统可以产生具有更复杂动力学性质的伪随机数(PRN)。证明了超混沌序列具有良好的随机性和不可预测性。在这种方法中,语音扰码通过DCT压缩来降低残差可理解性。然后用PRN对系数进行掩码,消除原始语音信号的真实感。各种分析,如键空间,相关,信噪比(SNR)和自相关也进行了。结果表明,该方案具有良好的相关性和信噪比,与传统的低维混沌密码系统相比,该方案是有效的。由于算法简单且具有四维性,因此该方法计算复杂度较低,且对暴力攻击具有很高的安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Speech encryption based on four-dimensional hyperchaotic system
This paper presents speech encryption based on four-dimensional hyperchaotic systems. Higher order chaotic systems can generate pseudo random numbers (PRN) of more complex dynamical properties. Hyper chaotic sequence is proofed with good randomness and unpredictability. In this approach, the speech scrambles are compressed by DCT to reduce residual intelligibility. Coefficients are then masked by PRN to eliminate true sense of original speech signals. Various analysis such as key space, correlation, signal to noise ratio (SNR), and autocorrelation have been also carried out. The results give good correlation and SNR, which validates that the proposed scheme is efficient compared to conventional lower dimensional chaotic cryptosystems. Since the algorithm is simple and four-dimensional, the proposed method is computationally less complex and highly secure against brute-force attack.
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