首页> 外文期刊>Turkish Journal of Electrical Engineering and Computer Sciences >A steganographic approach to hide secret data in digital audio based on XOR operands triplet property with high embedding rate and good quality audio
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A steganographic approach to hide secret data in digital audio based on XOR operands triplet property with high embedding rate and good quality audio

机译:一种基于异或运算元的三重属性,具有高嵌入率和高质量音频的隐藏方法,可在数字音频中隐藏秘密数据

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摘要

In this paper, a unique and transparent data hiding algorithm based on XOR operands triplet (XOT) is proposed. In XOT, an XOR operation applied on any two members of a triplet provides the third member of the same triplet. Taking advantage of the low computational complexity and fascinating properties of the XOR operator, it is possible to embed 4-ary secret digits with negligible changes in the host digital audio. The proposed scheme has been designed to ensure that a minimum number of bit alterations happen in the host digital audio during the data hiding process, which also increases the security of the scheme and provides high quality embedded audio without compromising the statistical property of host audio signals. The scheme confirms that the maximum change is less than 12.5% of the digital audio samples and the average error for the individual digital audio sample is less than 6.25%. The experimental results show that the scheme has a high capacity (88 kbps) without perceptual distortion (objective difference grades are -0.1 to -0.31) and provides robustness against intentional or unintentional attack detection. Comparative analysis shows that our method has better performance than data hiding techniques reported recently in terms of imperceptibility, capacity, and security.
机译:提出了一种基于异或操作数三元组(XOT)的透明透明数据隐藏算法。在XOT中,对三元组的任何两个成员执行的XOR操作将提供同一三元组的第三个成员。利用XOR运算符的低计算复杂度和令人着迷的特性,可以在主机数字音频中嵌入微不足道的4位秘密数字。所设计的方案旨在确保在数据隐藏过程中在主机数字音频中发生最少数量的位更改,这也增加了该方案的安全性,并提供了高质量的嵌入式音频,而不会损害主机音频信号的统计特性。 。该方案确认最大变化小于数字音频样本的12.5%,单个数字音频样本的平均误差小于6.25%。实验结果表明,该方案具有高容量(88 kbps),且不会产生感知失真(客观差异等级为-0.1至-0.31),并且可以抵抗有意或无意的攻击检测。对比分析表明,就不可感知性,容量和安全性而言,我们的方法比最近报道的数据隐藏技术具有更好的性能。

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