Huffman table swapping-based steganograpy for MP3 audio

Yan, Diqun; Wang, Rangding

doi:10.1007/s11042-009-0430-5

Cited by 17 publications

(4 citation statements)

References 8 publications

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“…Over the past decade different mp3 steganography methods have been developed. They include Mp3stego [43], under mp3 cover (Ump3c) [53], Mp3stegz − One Kernel: [54], Huffman table swapping [55], quantization step parity [56], Linbit [57], Bv-Stego [58], and other methods [59][60][61]. Current literature has only investigated steganalysis of Mp3stego and Ump3c.…”

Section: Mp3 Steganalysismentioning

confidence: 99%

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Comprehensive review of audio steganalysis methods

Ghasemzadeh

Kayvanrad

2018

IET signal process.

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Recently, merging signal processing techniques with information security services has found a lot of attention. Steganography and steganalysis are among those trends. Like their counterparts in cryptology, steganography and steganalysis are in a constant battle. Steganography methods try to hide the presence of covert messages in innocuouslooking data, whereas steganalysis methods try to break steganography algorithms and reveal the existence of hidden messages. The stream nature of audio signals, their popularity, and their wide spread usage make them very good candidates for steganography. This has led to a very rich literature on both steganography and steganalysis of audio signals. This paper intends to conduct a comprehensive review of audio steganalysis methods aggregated over near fifteen years. To that end, both compressed and con-compressed methods are reviewed, and then their important details are presented in different tables. Furthermore, some of the most recent audio steganalysis methods (both non-compressed and compressed ones) are implemented and comparative analyses on their performances are conducted. Finally, the paper provides some possible directions for future researches on audio steganalysis.

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Section: Mp3 Steganalysismentioning

confidence: 99%

“…One Kernel: [54], Huffman table swapping [55], quantization step parity [56], Linbit [57], Bv-Stego [58], and other methods [59][60][61].…”

mentioning

confidence: 99%

Comprehensive review of audio steganalysis methods

Ghasemzadeh

Kayvanrad

2018

IET signal process.

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“…In this case the smallest possible value is 1only one of the formats is supported and the highest is 4all formats are supported. The evaluation scale gives larger value to lossy compression support, because lossy compression algorithms are much more popular between the users than lossless or uncompressed audio [8][9][10] and create greater difficulty in embedding hidden information in themso we give it a better evaluation that the support of other format.…”

Section: Lossy Compressionmentioning

confidence: 99%

Unified Evaluation System for Audio Steganography Methods

Yershov¹,

Karpelcev²

2011

Scientific Journal of Riga Technical University. Computer Sciences

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The interest in the digital steganography grows together with the rise of amounts of multimedia data exchanged over the Internet. This growth provides steganography with new possibilities and opportunities for data hiding. The information hiding in audio streams is considered especially promising due to audio data popularity and possibilities to hide data within audio signals. There are many data hiding methods. The steganography is used to process audio streams, and the new methods are constantly emerging. These methods have different applications and targets, features and properties. This paper presents the Unified Evaluation System (UES) for evaluation, comparison and classification of audio steganography methods proposed by the authors. UES is a set of calculation principles, which are especially combined for audio steganographic methods. The system's outcomes provide conclusions in order to determine advantages/disadvantages of the methods and to define the audio steganography methods as the most suitable for each particular case.

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“…Existing MP3 steganographic methods can be divided into two major categories: encoding parameters-based methods and encoding data-based ones. For the encoding parameters-based methods, the messages are embedded by adjusting window type [1], quantization step [2,3], Huffman table index [4], and so forth. e modification of these parameters will not cause sharp disturbances to the audio signal.…”

Section: Introductionmentioning

confidence: 99%

A Robust MP3 Steganographic Method against Multiple Compressions Based on Modified Discrete Cosine Transform

Yang

Zhao

et al. 2021

Security and Communication Networks

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MP3 appears in various social networking sites wildly, and it is very suitable to be applied for covert communication indeed. However, almost all social networking sites recompress the uploaded MP3 files, which leads to the ineffectiveness of the existing MP3 steganographic methods. In this paper, a robust MP3 steganographic algorithm is proposed with the ability of multiple compressions resistance. First, we discover a new embedding domain with strong robustness. The scalefactor bands of higher energy are applied as the embedding bands. The message bits are embedded by adjusting the position of the MDCT coefficients with the largest magnitude in the embedding bands. Besides, the embedding and extraction operations are realized in the process of MP3 decoding at the same time. Experimental results illustrate that our proposed method is of strong robustness against multiple MP3 compressions. The bit error rate is less than 1% at the MP3 bitrate of 320 kbps. It is worth mentioning that the proposed method is proved to be applicable to social networking sites, such as SoundCloud, for covert communication. Our method achieves a satisfactory level of embedding capacity, imperceptibility, and undetectability.

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Huffman table swapping-based steganograpy for MP3 audio

Cited by 17 publications

References 8 publications

Comprehensive review of audio steganalysis methods

Comprehensive review of audio steganalysis methods

Unified Evaluation System for Audio Steganography Methods

A Robust MP3 Steganographic Method against Multiple Compressions Based on Modified Discrete Cosine Transform

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