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Improving spatial image adaptive steganalysis incorporating the embedding impact on the feature (ICIP 2017)

02/08/2018 - Image Steganology

C. Xia, Q. X. Guan, X. F. Zhao, J. Dong, Z. J. Xu                                         

ABSTRACT

Recently, in order to attack the adaptive steganograhpy more accurately, steganalysis features are associated with the content adaptivity. The adaptive σ version of the steganalysis features incorporates the impact of embedding on the residual to improve the detection. However, this method does not consider whether the embedding impact brings the change on the feature (histogram in the PSRM) which will be utilized by the detectors. Thus, we calculate the expectation of the residual L1 distortion under the condition when the corresponding stego and cover residual values are within different quantization intervals, which will be accumulated in the histograms. This adaptive steganalytic scheme, with the relative position of the residual value in the quantization interval, only utilizes the residual distortion that leads to the change on the final feature. The experimental results demonstrate the potential of the proposed idea, especially for small payloads. This idea can also be applied to JPEG phase-aware features.

Cite the paper as:

[1] C. Xia, Q. X. Guan, X. F. Zhao, J. Dong, Z. J. Xu. Improving spatial image adaptive steganalysis incorporating the embedding impact on the feature. 2017 IEEE International Conference on Image Processing (ICIP), Beijing, China, Sept.17-20, 2017pp. 515-519  

ICIP 2017 Paper