High capacity reversible data hiding in MP3 based on Huffman table transformation

Dingwei Tan; Yuliang Lu; Xuehu Yan; Lintao Liu; Longlong Li; Dingwei Tan; Yuliang Lu; Xuehu Yan; Lintao Liu; Longlong Li

doi:10.3934/mbe.2019158

Mathematical Biosciences and Engineering

2019, Volume 16, Issue 4: 3183-3194. doi: 10.3934/mbe.2019158

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Research article Special Issues

High capacity reversible data hiding in MP3 based on Huffman table transformation

National University of Defense Technology, Hefei 230037, China

Received: 24 February 2019 Accepted: 01 April 2019 Published: 11 April 2019

In practice, most audio files such as MP3 and AAC are stored and transmitted in the form of compressed files, which can serve as the cover in audio steganography. Currently, the prevailing audio steganography methods are not ideal because of the drawbacks. Some are characterized by low capacity while others are irreversible. In this paper, we propose a method to embed secret messages in MP3 encoding. Our strategy is to hide the information by Huffman table transformation. We extract secret information by analyzing side information. Experimental results show that our method can greatly improve the steganographic capacity with low distortion and high security. Meanwhile, it featured with higher decoding rate and reversible over some state-of-the-art methods.
- MP3 steganography,
- data hiding,
- Huffman table,
- reversible,
- large capacity
Citation: Dingwei Tan, Yuliang Lu, Xuehu Yan, Lintao Liu, Longlong Li. High capacity reversible data hiding in MP3 based on Huffman table transformation[J]. Mathematical Biosciences and Engineering, 2019, 16(4): 3183-3194. doi: 10.3934/mbe.2019158

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Abstract

In practice, most audio files such as MP3 and AAC are stored and transmitted in the form of compressed files, which can serve as the cover in audio steganography. Currently, the prevailing audio steganography methods are not ideal because of the drawbacks. Some are characterized by low capacity while others are irreversible. In this paper, we propose a method to embed secret messages in MP3 encoding. Our strategy is to hide the information by Huffman table transformation. We extract secret information by analyzing side information. Experimental results show that our method can greatly improve the steganographic capacity with low distortion and high security. Meanwhile, it featured with higher decoding rate and reversible over some state-of-the-art methods.

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