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

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Bibliographic Details
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]
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Database: Engineering Source
Description
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]
ISSN:13807501
DOI:10.1007/s11042-016-3264-y