An Audio Steganography Based on Run Length Encoding and Integer Wavelet Transform

IF 0.6 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS International Journal of Digital Crime and Forensics Pub Date : 2021-03-01 DOI:10.4018/IJDCF.2021030102
Hanlin Liu, Jingju Liu, Xuehu Yan, Pengfei Xue, Dingwei Tan
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引用次数: 0

Abstract

This paper proposes an audio steganography method based on run length encoding and integer wavelet transform which can be used to hide secret message in digital audio. The major contribution of the proposed scheme is to propose an audio steganography with high capacity, where the secret information is compressed by run length encoding. In the applicable scenario, the main purpose is to hide as more information as possible in the cover audio files. First, the secret information is chaotic scrambling, then the result of scrambling is run length encoded, and finally, the secret information is embedded into integer wavelet coefficients. The experimental results and comparison with existing technique show that by utilizing the lossless compression of run length encoding and anti-attack of wavelet domain, the proposed method has improved the capacity, good audio quality, and can achieve blind extraction while maintaining imperceptibility and strong robustness.
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基于行程编码和整数小波变换的音频隐写
提出了一种基于行程编码和整数小波变换的音频隐写方法,可用于隐藏数字音频中的秘密信息。该方案的主要贡献是提出了一种高容量的音频隐写技术,其中秘密信息通过运行长度编码进行压缩。在适用的场景中,主要目的是在封面音频文件中隐藏尽可能多的信息。首先对秘密信息进行混沌置乱,然后对置乱后的结果进行码长编码,最后将秘密信息嵌入到整数小波系数中。实验结果和与现有技术的比较表明,该方法利用了游程编码的无损压缩和小波域的抗攻击,提高了容量,音质好,在保持不可感知性和较强鲁棒性的同时实现了盲提取。
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来源期刊
International Journal of Digital Crime and Forensics
International Journal of Digital Crime and Forensics COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
2.70
自引率
0.00%
发文量
15
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