Steganalysis of MP3Stego with low embedding-rate using Markov feature.

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Title: Steganalysis of MP3Stego with low embedding-rate using Markov feature.
Authors: Jin, Chao1, Wang, Rangding1 wangrangding@nbu.edu.cn, Yan, Diqun1
Source: Multimedia Tools & Applications. Mar2017, Vol. 76 Issue 5, p6143-6158. 16p.
Subjects: Cryptography, MP3 (Audio coding standard), Markov processes, Computational complexity, Feature extraction
Abstract: MP3Stego is a typical steganographic tool for MP3 audios, whose embedding behavior disturbs the intrinsic correlation of the quantized MDCT coefficients (refer to as QMDCTs). In this paper, the Markov feature captured this correlation were designed based on the QMDCTs. The feature is sensitive to the subtle alteration caused by MP3stego embedding even at a low embedding-rate. In addition, some work on QMDCT pre-processing, threshold selection and feature optimization were applied to feature construction, which contribute to improving the detection accuracy and reducing the computational complexity of the proposed scheme. Experimental results show that our approach can effectively detect MP3Stego of low embedding-rate and outperforms the prior arts. [ABSTRACT FROM AUTHOR]
Copyright of Multimedia Tools & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Steganalysis of MP3Stego with low embedding-rate using Markov feature.
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  Data: <searchLink fieldCode="AR" term="%22Jin%2C+Chao%22">Jin, Chao</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Wang%2C+Rangding%22">Wang, Rangding</searchLink><relatesTo>1</relatesTo><i> wangrangding@nbu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Yan%2C+Diqun%22">Yan, Diqun</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>. Mar2017, Vol. 76 Issue 5, p6143-6158. 16p.
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  Data: <searchLink fieldCode="DE" term="%22Cryptography%22">Cryptography</searchLink><br /><searchLink fieldCode="DE" term="%22MP3+%28Audio+coding+standard%29%22">MP3 (Audio coding standard)</searchLink><br /><searchLink fieldCode="DE" term="%22Markov+processes%22">Markov processes</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+complexity%22">Computational complexity</searchLink><br /><searchLink fieldCode="DE" term="%22Feature+extraction%22">Feature extraction</searchLink>
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  Label: Abstract
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  Data: MP3Stego is a typical steganographic tool for MP3 audios, whose embedding behavior disturbs the intrinsic correlation of the quantized MDCT coefficients (refer to as QMDCTs). In this paper, the Markov feature captured this correlation were designed based on the QMDCTs. The feature is sensitive to the subtle alteration caused by MP3stego embedding even at a low embedding-rate. In addition, some work on QMDCT pre-processing, threshold selection and feature optimization were applied to feature construction, which contribute to improving the detection accuracy and reducing the computational complexity of the proposed scheme. Experimental results show that our approach can effectively detect MP3Stego of low embedding-rate and outperforms the prior arts. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Multimedia Tools & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s11042-016-3264-y
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        Text: English
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        Type: general
      – SubjectFull: MP3 (Audio coding standard)
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      – SubjectFull: Markov processes
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      – SubjectFull: Computational complexity
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      – SubjectFull: Feature extraction
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      – TitleFull: Steganalysis of MP3Stego with low embedding-rate using Markov feature.
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              Text: Mar2017
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              Y: 2017
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