最大李雅普诺夫指数和超混沌系统复杂度对安全语音通信的影响

Samuel Amde Gebereselassie, B. K. Roy
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引用次数: 3

摘要

最大李雅普诺夫指数(LE)的大小被用作混沌性的度量。利用Kaplan-Yorke维数来度量超混沌系统的复杂性。最大李雅普诺夫指数越高,系统的混沌性越强,李雅普诺夫维数越高,系统的复杂性越高。我们对六种不同的超混沌系统进行了比较分析,以了解李雅普诺夫指数和复杂性对安全语音通信系统的影响。利用所提出的两步(掩蔽和调制)安全语音通信技术,利用每个超混沌系统生成安全的加解密语音信号。通过一些可用的性能指标,如加密相关系数、段谱信噪比(SSSNR)和正交图来分析加密语音信号的安全程度。采用所考虑的六个超混沌系统(两个系统具有较高的正LE,两个系统具有中等的正LE,其余两个系统具有较低的正LE)所产生的性能度量进行比较,并观察到最大的正Lyapunov指数和Kaplan-Yorke维数影响安全语音通信的性能。最大李雅普诺夫指数越高,混沌系统的复杂度越高,语音通信系统的安全性越高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Impact of the Largest Lyapunov Exponent and Complexity of a Hyperchaotic System on the Secure Speech Communication
The magnitude of the largest Lyapunov exponent (LE) is used as a metric of chaoticity. The Kaplan-Yorke dimension is utilized to measure the complexity of a hyperchaotic system. A system having higher largest Lyapunov exponent has more chaoticity, and a higher Lyapunov dimension exhibits more complexity. We have performed a comparative analysis considering six different hyperchaotic systems to know the impact of Lyapunov exponents and complexity on the secure speech communication system. Each hyperchaotic system is used to generate the secure encrypted and decrypted speech signals by using the proposed two steps (masking and modulation) secure speech communication technique. The degree of security of the encrypted speech signal is analyzed by some available performance measures, such as encryption correlation coefficient, Segmental Spectral Signal to Noise Ratio (SSSNR), and peredogram. The performance measures resulted by using the considered six hyperchaotic systems (two systems with higher positive LE, two with medium and the rest two with low positive LE) are compared and observed that the largest positive Lyapunov exponent and Kaplan-Yorke dimension impact the performance of the secure speech communication. A higher value of the largest Lyapunov exponent and complexity of chaotic systems result in more security in the speech communication system.
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