Abstract
An efficient steganalytic method to LSB matching was proposed in this paper. First, a quantitative measurement method of sensitivity was proposed, and the noise of the cover image is verified to be more sensitive than image content to steganography. Then, extract the higher-order Markov features from the noise of detected images, and distinguish the images with classification tool of Support Vector Machines. Experimental results show that the proposed method outperforms existing methods. Even for low embedding ratio of 0.05 bit per pixel, the detection accuracy can reach up to 79%.
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Lu, J., Liu, F., Luo, X., Song, X. (2014). Steganalysis of LSB Matching Based on Image Noise. In: Park, J., Chen, SC., Gil, JM., Yen, N. (eds) Multimedia and Ubiquitous Engineering. Lecture Notes in Electrical Engineering, vol 308. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54900-7_31
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DOI: https://doi.org/10.1007/978-3-642-54900-7_31
Publisher Name: Springer, Berlin, Heidelberg
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