Abstract
Adaptive multi-rate (AMR) is a popular audio compression standard, various AMR FCB (Fixed Codebook) steganographic algorithms have been developed and more readily available for the popularity of AMR in mobile communication and mobile Internet, an effective steganalysis techniques are called for cyber security. In this paper, we propose a well-designed steganalytic scheme to effectively detect FCB steganography. For this purpose, we first elaborately to model the pulse position 2-D arrays formed on the pulses positions. Neighboring joint density features are constructed based on the intra-block and inter-block from multi scales and multi directions extracted. Experimental results show that, our method prominently outperforms the existing FCB based steganalysis, especially in detecting the STC-based steganographic systems at low embedding rate.
This work was supported by NSFC under 61972390, U1736214 and 61902391, and National Key Technology R&D Program under 2019QY0700 and 2016QY15Z2500.
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Gong, C., Zhao, X. (2020). New Steganalytic Approach for AMR Steganography Based on Block-Wise of Pulse Position Distribution and Neighboring Joint Density. In: Wang, H., Zhao, X., Shi, Y., Kim, H., Piva, A. (eds) Digital Forensics and Watermarking. IWDW 2019. Lecture Notes in Computer Science(), vol 12022. Springer, Cham. https://doi.org/10.1007/978-3-030-43575-2_26
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DOI: https://doi.org/10.1007/978-3-030-43575-2_26
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