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Speech scrambling based on chaotic maps and one time pad

机译:基于混沌映射和一个时间片的语音加扰

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摘要

This paper presents a chaos-based speech scrambling system. Chaotic maps have been successfully used for large-scale data encryption such as image, audio and video data, due to their good properties such as pseudo-randomness, sensitivity to changes in initial conditions and system parameters and aperiodicity. This paper uses two chaotic maps, circle map and logistic map for speech confusion and diffusion, respectively. In the confusion stage, speech samples are divided into small segments. Then, indices of ordered generated sequence of circle map are used to shuffle the positions of the speech signal segments. Then, a one-time pad generated by the logistic map is used for the diffusion stage. Several experimental results, signal-to-noise ratio, key space, key sensitivity tests, statistical analysis, chosen/known plaintext attack and time analysis show that the proposed method for speech scrambling performs efficiently and can be applied for secure real time speech communications.
机译:本文提出了一种基于混沌的语音加扰系统。混沌图由于其良好的特性(如伪随机性,对初始条件和系统参数的变化敏感度以及非周期性)而已成功用于诸如图像,音频和视频数据的大规模数据加密。本文使用两种混沌图,圆图和逻辑图分别进行语音混淆和扩散。在混淆阶段,语音样本被分为小段。然后,使用有序生成的圆形图序列的索引来混洗语音信号段的位置。然后,将由逻辑图生成的一次性垫用于扩散阶段。若干实验结果,信噪比,密钥空间,密钥敏感性测试,统计分析,选定/已知的明文攻击和时间分析表明,所提出的语音加扰方法可以有效地执行,并且可以用于安全的实时语音通信。

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