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Detection of MP3Stego exploiting recompression calibration-based feature.

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Title: Detection of MP3Stego exploiting recompression calibration-based feature.
Authors: Yan, Diqun1 yandiqun@nbu.edu.cn, Wang, Rangding1 wangrangding@nbu.edu.cn
Source: Multimedia Tools & Applications. Sep2014, Vol. 72 Issue 1, p865-878. 14p.
Subjects: MP3 (Audio coding standard), Data compression, Cryptography, Support vector machines, Calibration, Feature extraction, Algorithms
Abstract: MP3Stego is a typical steganographic tool for MP3 audio. Once the cover audio is unavailable, it is hard to distinguish between background noise and steganographic distortion. In this work, the MP3Stego algorithm has been analyzed from a warden's perspective. It is observed that the number of bits in the bit reservoir will be disturbed when the secret message is embedded. In addition, a reliable estimation of cover audio is obtained by the proposed recompression calibration. The calibrated features are classified with support vector machine technique. Experimental results show that the proposed scheme is effective and gets good performance, especially when the embedding rate is not less than 0.01 %. The results also shows that the proposed scheme can achieve lower false positive rate comparing to the existing algorithms. [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: <searchLink fieldCode="AR" term="%22Yan%2C+Diqun%22">Yan, Diqun</searchLink><relatesTo>1</relatesTo><i> yandiqun@nbu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Rangding%22">Wang, Rangding</searchLink><relatesTo>1</relatesTo><i> wangrangding@nbu.edu.cn</i>
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  Data: <searchLink fieldCode="DE" term="%22MP3+%28Audio+coding+standard%29%22">MP3 (Audio coding standard)</searchLink><br /><searchLink fieldCode="DE" term="%22Data+compression%22">Data compression</searchLink><br /><searchLink fieldCode="DE" term="%22Cryptography%22">Cryptography</searchLink><br /><searchLink fieldCode="DE" term="%22Support+vector+machines%22">Support vector machines</searchLink><br /><searchLink fieldCode="DE" term="%22Calibration%22">Calibration</searchLink><br /><searchLink fieldCode="DE" term="%22Feature+extraction%22">Feature extraction</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink>
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  Label: Abstract
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  Data: MP3Stego is a typical steganographic tool for MP3 audio. Once the cover audio is unavailable, it is hard to distinguish between background noise and steganographic distortion. In this work, the MP3Stego algorithm has been analyzed from a warden's perspective. It is observed that the number of bits in the bit reservoir will be disturbed when the secret message is embedded. In addition, a reliable estimation of cover audio is obtained by the proposed recompression calibration. The calibrated features are classified with support vector machine technique. Experimental results show that the proposed scheme is effective and gets good performance, especially when the embedding rate is not less than 0.01 %. The results also shows that the proposed scheme can achieve lower false positive rate comparing to the existing algorithms. [ABSTRACT FROM AUTHOR]
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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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      – SubjectFull: Data compression
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      – SubjectFull: Cryptography
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      – SubjectFull: Support vector machines
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              Text: Sep2014
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