20 January 2015 Steganography forensics method for detecting least significant bit replacement attack
Author Affiliations +
J. of Electronic Imaging, 24(1), 013016 (2015). doi:10.1117/1.JEI.24.1.013016
We present an image forensics method to detect least significant bit replacement steganography attack. The proposed method provides fine-grained forensics features by using the hierarchical structure that combines pixels correlation and bit-planes correlation. This is achieved via bit-plane decomposition and difference matrices between the least significant bit-plane and each one of the others. Generated forensics features provide the susceptibility (changeability) that will be drastically altered when the cover image is embedded with data to form a stego image. We developed a statistical model based on the forensics features and used least square support vector machine as a classifier to distinguish stego images from cover images. Experimental results show that the proposed method provides the following advantages. (1) The detection rate is noticeably higher than that of some existing methods. (2) It has the expected stability. (3) It is robust for content-preserving manipulations, such as JPEG compression, adding noise, filtering, etc. (4) The proposed method provides satisfactory generalization capability.
© 2015 SPIE and IS&T
Xiaofeng Wang, Chengcheng Wei, Xiao Han, "Steganography forensics method for detecting least significant bit replacement attack," Journal of Electronic Imaging 24(1), 013016 (20 January 2015). https://doi.org/10.1117/1.JEI.24.1.013016


Locatability of modified pixels in steganographic images
Proceedings of SPIE (February 13 2012)
Searching for the stego-key
Proceedings of SPIE (June 22 2004)
A new paradigm for steganalysis via clustering
Proceedings of SPIE (February 10 2011)
Synthesis of color filter array pattern in digital images
Proceedings of SPIE (February 04 2009)
Overlaid caption extraction in news video based on SVM
Proceedings of SPIE (November 15 2007)

Back to Top