首页> 外文会议>2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science >Correlation based highly secure image hiding in audio signals using wavelet decomposition and chaotic maps hopping for 5G multimedia communications
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Correlation based highly secure image hiding in audio signals using wavelet decomposition and chaotic maps hopping for 5G multimedia communications

机译:用于5G多媒体通信的小波分解和混沌映射跳跃在音频信号中基于相关性的高度安全图像隐藏

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Audio Steganography is the technique of hiding any secret information behind a cover audio file without impairing its quality. Data hiding in audio signals has various applications such as secret communications and concealing data that may influence the security and safety of governments and personnel and has possible important applications in 5G communication systems. This paper proposes an efficient secure steganography scheme based on the high correlation between successive audio signals. This is similar to the case of differential pulse coding modulation technique (DPCM) where encoding uses the redundancy in sample values to encode the signals with lower bit rate. Discrete Wavelet Transform (DWT) of audio samples is used to store hidden data in the least important coefficients of Haar transform. We use the benefit of the small differences between successive samples generated from encoding of the cover audio signal wavelet coefficients to hide image data without making a remarkable change in the cover audio signal. instead of changing of actual audio samples so this doesn't perceptually degrade the audio signal and provides higher hiding capacity with lower distortion. To further increase the security of the image hiding process, the image to be hidden is divided into blocks and the bits of each block are XORed with a different random sequence of logistic maps using hopping technique. The performance of the proposed algorithm has been estimated extensively against attacks and experimental results show that the proposed method achieves good robustness and imperceptibility.
机译:音频隐写术是一种在不损害其质量的情况下将任何秘密信息隐藏在封面音频文件后面的技术。隐藏在音频信号中的数据具有各种应用程序,例如秘密通信和隐藏数据,这些数据可能会影响政府和人员的安全性,并且可能在5G通信系统中具有重要的应用程序。本文提出了一种基于连续音频信号之间高相关性的有效安全隐写方案。这类似于差分脉冲编码调制技术(DPCM)的情况,其中编码使用样本值中的冗余来以较低的比特率编码信号。音频样本的离散小波变换(DWT)用于将隐藏数据存储在Haar变换的最不重要系数中。我们利用从覆盖音频信号小波系数编码生成的连续样本之间的微小差异的优势来隐藏图像数据,而无需在覆盖音频信号中进行显着更改。而不是更改实际的音频样本,这样就不会在感觉上降低音频信号,并提供了更高的隐藏能力和更低的失真。为了进一步提高图像隐藏处理的安全性,将要隐藏的图像划分为多个块,并使用跳变技术将每个块的位与逻辑映射的不同随机序列进行异或。针对攻击行为对算法的性能进行了广泛的评估,实验结果表明,该方法具有很好的鲁棒性和不可察觉性。

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