Advanced audio coding steganography algorithm with distortion minimization model based on audio beat
Currently, most advanced audio coding (AAC) steganography methods are content-non-adaptive without considering the characteristics of audio, and there are several limitations in imperceptibility and steganalysis. In this paper, we use an audio feature beat as the anchor point to identify the cover e...
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| Veröffentlicht in: | Computers & electrical engineering Jg. 106; S. 108580 |
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01.03.2023
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| Abstract | Currently, most advanced audio coding (AAC) steganography methods are content-non-adaptive without considering the characteristics of audio, and there are several limitations in imperceptibility and steganalysis. In this paper, we use an audio feature beat as the anchor point to identify the cover elements, group the quantized modified discrete cosine transform (QMDCT) coefficients in the small value area, and finally use the syndrome-trellis codes (STCs) framework for content-adaptive embedding to obtain the minimum distortion. In the STCs framework, we comprehensively consider auditory and data distortions. Experimental results demonstrate that the proposed steganography algorithm has a 10% improvement over the compared algorithms in terms of imperceptibility and steganalysis, and it can accurately extract secret information in face of frame loss and misalignment.
•A neural network is adopted to track the beats.•New distortion function of STCs framework is proposed.•Quantized modified discrete cosine transform coefficients in the small area are designed to be cover elements by beats.•Content-adaptive embedding algorithm is proposed. |
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| AbstractList | Currently, most advanced audio coding (AAC) steganography methods are content-non-adaptive without considering the characteristics of audio, and there are several limitations in imperceptibility and steganalysis. In this paper, we use an audio feature beat as the anchor point to identify the cover elements, group the quantized modified discrete cosine transform (QMDCT) coefficients in the small value area, and finally use the syndrome-trellis codes (STCs) framework for content-adaptive embedding to obtain the minimum distortion. In the STCs framework, we comprehensively consider auditory and data distortions. Experimental results demonstrate that the proposed steganography algorithm has a 10% improvement over the compared algorithms in terms of imperceptibility and steganalysis, and it can accurately extract secret information in face of frame loss and misalignment.
•A neural network is adopted to track the beats.•New distortion function of STCs framework is proposed.•Quantized modified discrete cosine transform coefficients in the small area are designed to be cover elements by beats.•Content-adaptive embedding algorithm is proposed. |
| ArticleNumber | 108580 |
| Author | Li, Chen Zhang, Xue Tian, Lihua |
| Author_xml | – sequence: 1 givenname: Xue surname: Zhang fullname: Zhang, Xue – sequence: 2 givenname: Chen surname: Li fullname: Li, Chen email: lynnlc@126.com – sequence: 3 givenname: Lihua surname: Tian fullname: Tian, Lihua |
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| Cites_doi | 10.1007/s10773-019-04251-z 10.1007/s11042-020-09344-0 10.1109/ICMULT.2010.5629745 10.1109/TITS.2020.2991766 10.1109/ACCESS.2021.3050004 10.1145/3015166.3015189 10.1109/TFUZZ.2020.2984991 10.1109/TIFS.2015.2486744 10.1109/TASLP.2021.3058892 10.1109/I2CT.2018.8529329 10.1109/JAS.2021.1004204 10.1109/TASL.2010.2098869 10.1109/ACCESS.2022.3155146 10.1109/TIFS.2011.2134094 |
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10.1016/j.compeleceng.2023.108580_b7 article-title: DRRS-BC: Decentralized routing registration system based on blockchain publication-title: IEEE/CAA J Autom Sin doi: 10.1109/JAS.2021.1004204 – volume: 19 start-page: 1754 issue: 6 year: 2010 ident: 10.1016/j.compeleceng.2023.108580_b20 article-title: Simultaneous beat and downbeat-tracking using a probabilistic framework: Theory and large-scale evaluation publication-title: IEEE Trans Audio Speech Lang Process doi: 10.1109/TASL.2010.2098869 – volume: 10 start-page: 29954 year: 2022 ident: 10.1016/j.compeleceng.2023.108580_b5 article-title: Enhancing LSB using binary message size encoding for high capacity, transparent and secure audio steganography–An innovative approach publication-title: IEEE Access doi: 10.1109/ACCESS.2022.3155146 – volume: 6 start-page: 920 issue: 3 year: 2011 ident: 10.1016/j.compeleceng.2023.108580_b23 article-title: Minimizing additive distortion in steganography using syndrome-trellis codes publication-title: IEEE Trans Inf Forensics Secur doi: 10.1109/TIFS.2011.2134094 |
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