Robust adaptive steganography based on dither modulation and modification with re-compression
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Traditional adaptive steganography is a technique used for covert communication with high security, but the scheme is invalid in the case of stego image is damaged by lossy channels, such as JPEG compression of channels. To deal with such problem, robust adaptive steganography is proposed to enable the receiver to extract the secret message from the damaged stego image. Previous works utilise reverse engineering and compression-resistant domain constructing to implement robust adaptive steganography. In this paper, we adopt modification with re-compression in embedding scheme to improve the robustness of stego sequences. To balance security and robustness, we move the embedding domain to the low frequency region to improve the security of robust adaptive steganography. In addition, we add an additional check code to further reduce the average extraction error rate based on the framework of E-DMAS (Enhancing Dither Modulation based robust Adaptive Steganography). Compared with GMAS (Generalized dither Modulation based robust Adaptive Steganography) and E-DMAS, Experiments show that our scheme can achieve strong robustness and improve the security of robust adaptive steganography greatly when the channel quality factor is known.
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