基于Arnold-Lucas映射的语音置乱

N. Abbas, Zeina Hassan Razaq
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引用次数: 4

摘要

随着人们对通信和传输介质安全性要求的不断提高,以及通信系统必然要通过不安全通道传输数据的发展,出现了许多试图对一般保密信息和对语音信息进行保密的方法。从这种方法来看,混沌映射为最近的数据安全提供了完美的途径,并被广泛应用于语音置乱。混沌映射由于其伪随机性、对系统参数和初始条件的敏感性以及周期性等优良特性,成功地应用于视频、音频和图像等大型媒体数据的加密。在我们提出的系统中,我们使用了依赖于Arnold和Lucas映射的混沌映射的新组合,Arnold-Lucas映射很好地执行了置乱过程并给出了很好的结果。采用信噪比(SNR)、PSNR和相关指标对系统进行评价,结果与Arnold cat图和Fibonacci图相比效果更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Speech Scrambling Based on Arnold-Lucas Mapping
In the increasing needed for security of communication and transmitted media and the development of communication system which surely transmits the data via the unsecured channel, many approaches appear to attempt to maintain the secret information generally and speech information specially. From this approach that is the most recently the chaotic maps that provide the perfect way for the security of data, and is used widely in speech scrambling. The chaotic maps used successfully for encryption of large-scale media such as video, audio, and image data because of its perfect properties as pseudo-randomness, sensitivity to parameters of the system and initial conditions and periodicity. In our proposed system we use a new combination of chaotic maps that depend on Arnold and Lucas maps, Arnold-Lucas map performs the scrambling process in a good way and give good results. The proposed system evaluated using SNR, PSNR, and correlation measures and the results of our proposed system were better compared with Arnold cat map and Fibonacci map.
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