Secure AAC steganography scheme based on multi-view statistical distortion (SofMvD)

Secure AAC steganography scheme based on multi-view statistical distortion (SofMvD)
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基于多视图统计失真的安全AAC隐写方案(SofMvD)

DOI:
10.1016/j.jisa.2021.102863
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发表时间:
2021-06
影响因子:
5.6
通讯作者:
Lina Wang
Lina Wang
中科院分区:
计算机科学3区
文献类型:
--
作者:
Yanzhen Ren;Sen Cai;Lina Wang

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摘要高级音频编码(AAC)是目前互联网应用中应用最广泛的音频压缩标准。提出了一种基于AAC QMDCT压缩参数的大容量安全隐写算法。为了提高隐写术的统计安全性和不可感知性。基于多视角统计失真,结合霍夫曼码字的统计分布、QMDCT的帧内和帧间统计相关性以及心理声学模型中的频率感知掩蔽,提出了一种基于STC的安全AAC隐写方案SofMvD。在实验结果中,所提出的方案的最大嵌入容量约为12 kbps。与现有方法相比,该方法可以在不改变嵌入容量的情况下,将隐写分析能力提高8%-30%,并提高隐写分析的听觉隐藏性。该方案也可以扩展到MP3。
Abstract Advanced Audio Coding (AAC) is currently the most widely used audio compression standard in Internet applications. In this paper, a large capacity secure steganography algorithm based on the compression parameters of AAC QMDCT is proposed. In order to improve the statistical security and the imperceptibility of steganography. Based on multi-view statistical distortion, which combines the statistical distribution of Huffman codewords, QMDCT’s intra-frame and inter-frame statistical correlation, and the frequency perceptual masking in the psychoacoustic model, this paper presents a secure AAC steganography scheme SofMvD based on STCs. In the experimental results, the maximum embedding capacity of the proposed scheme is about 12 kbps. Compared with the existing methods, this method can improve steganalysis’s ability to 8%− 30% and improve the auditory concealment of steganalysis without changing the embedding capacity. This scheme can also be extended to MP3.
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