  Traditional adaptive steganography is a technique used for covert
communication with high security, but it is invalid in the case of stego images
are sent to legal receivers over networks which is lossy, such as JPEG
compression of channels. To deal with such problem, robust adaptive
steganography is proposed to enable the receiver to extract secret messages
from the damaged stego images. Previous works utilize reverse engineering and
compression-resistant domain constructing to implement robust adaptive
steganography. In this paper, we adopt modification with re-compression scheme
to improve the robustness of stego sequences in stego images. To balance
security and robustness, we move the embedding domain to the low frequency
region of DCT (Discrete Cosine Transform) coefficients to improve the security
of robust adaptive steganography. In addition, we add additional check codes 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, experiment results show that our scheme can achieve
strong robustness and improve the security of robust adaptive steganography
greatly when the channel quality factor is known.
