A Recent Review of MP3 Based Steganography Methods

Bazyar, Mohsen; Sudirman, Rubita

doi:10.14257/ijsia.2014.8.6.35

Cited by 7 publications

(2 citation statements)

References 12 publications

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“…For MP3, many steganographic schemes have emerged [10]- [12]. Certain MP3 steganographic tools were published early on, including MP3Stego [13], UnderMP3Cover [14], and MP3Stegz [15].…”

Section: Introductionmentioning

confidence: 99%

Spec-ResNet: A General Audio Steganalysis scheme based on Deep Residual Network of Spectrogram

Ren,

Liu,

Xiong

et al. 2019

Preprint

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The widespread application of audio and video communication technologies has resulted in compressed audio data flowing across the Internet and has made it an important carrier for covert communication. Many steganographic schemes have emerged for mainstream audio data compression, including AAC and MP3, with many steganalysis schemes being subsequently developed. However, these steganalysis schemes are only effective in the given embedding domain. In this paper, a general steganalysis scheme, Spec-ResNet (Deep Residual Network of Spectrogram), is proposed to detect steganography schemes in different embedding domains for AAC and MP3. The basic idea is that the steganographic modification of different embedding domains all introduce changes in the decoded audio signal. In this paper, a spectrogram, which is a visual representation of the spectrum of the frequencies of an audio signal, is adopted as the input of the feature network to extract the universal features introduced by steganography schemes. Our deep-neural-networkbased method, Spec-ResNet, can effectively represent steganalysis features, and the features extracted from different spectrogram windows are combined to fully capture the steganalysis features. The experimental results show that the proposed scheme achieves good detection accuracy and generality. The proposed scheme achieves higher detection accuracy for three different AAC steganographic schemes and MP3Stego compared to state-ofthe-art steganalysis schemes based on traditional hand-crafted or CNN-based features. To the best of our knowledge, this audio steganalysis scheme based on spectrograms and a deep residual network is the first to be published. The method proposed in this paper can be extended to the audio steganalysis of other codecs or audio forensics.

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“…For MP3, many steganographic schemes have emerged [10]- [12]. Certain MP3 steganographic tools were published early on, including MP3Stego [13], UnderMP3Cover [14], and MP3Stegz [15].…”

Section: Introductionmentioning

confidence: 99%

Spec-ResNet: A General Audio Steganalysis scheme based on Deep Residual Network of Spectrogram

Ren,

Liu,

Xiong

et al. 2019

Preprint

View full text Add to dashboard Cite

show abstract

“…Some methods attempt to be robust against various attacks like MPEG-1 layer III compression, whereas, achieving high hiding capacity is the goal of some other steganography techniques [5]. In recent years, most of watermarking techniques which have been proposed for MP3 audio formats can be improved for the steganography purposes without any problem [6]. The goal of this study is to develop an application which can hide data in MP3 files and detect the presence of hidden messages in MP3 files using an appropriate analysis method.…”

Section: Introductionmentioning

confidence: 99%