Performance Comparison of Hybrid Chaotic Maps Based on Speech Scrambling for OFDM Techniques

Ammar M. Raheema, S. Sadkhan, Sinan M. Abdul Sattar
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引用次数: 16

Abstract

This paper presents a speech encryption model that uses two different chaotic maps (Hennon and Logistic maps) based on the OFDM technique. The purpose of using the encrypted chaotic key in OFDM techniques is to improve the Bit Error Rate (BER) performance in receiver side which has robustness against AWGN effects, thus increasing the security of data transmitted. In the last few years, a significant research effort has been devoted, concerning secret chaotic key as compared with the conventional OFDM modulation schemes. Chaotic maps have a wideband, non-periodic, unpredictable nature, very sensitive to initial conditions; so chaotic map is used for security. This paper uses two chaotic maps Logistic & Hennon each individually to create encrypted undercover keys and compares a model performance between them. The comparison showed that the performance is similar to the two chaotic maps with a minimal difference between them (After SNR=16 dB the BER=10-3). As for residual Intelligibility Measurements, they are very close and there is little difference in the limits (0.01-0.1) for R, SSNR and CD test. The suggested model has been carried out by employing MATLAB by utilizing SIMULINK (R2018b). Execution of this program is studied, the outcomes are good.
基于语音置乱的OFDM混合混沌映射性能比较
本文提出了一种基于OFDM技术的语音加密模型,该模型使用了两种不同的混沌映射(Hennon映射和Logistic映射)。在OFDM技术中使用加密混沌密钥的目的是提高接收端的误码率性能,使其对AWGN具有鲁棒性,从而提高传输数据的安全性。近年来,人们对秘密混沌密钥与传统OFDM调制方式的比较进行了大量的研究。混沌映射具有宽带、非周期、不可预测的性质,对初始条件非常敏感;所以混沌地图是用于安全的。本文分别使用Logistic和Hennon两个混沌映射来创建加密的秘密密钥,并比较了它们之间的模型性能。结果表明,该算法的性能与两种混沌映射相似,两者之间的差异很小(信噪比为16 dB后,误码率为10-3)。残差可理解度测量结果非常接近,R、SSNR和CD测试的极限值(0.01-0.1)差异不大。利用SIMULINK (R2018b)软件,利用MATLAB对所建议的模型进行了仿真。对该方案的执行情况进行了研究,取得了良好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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