Journal
OPTICS COMMUNICATIONS
Volume 285, Issue 10-11, Pages 2510-2518Publisher
ELSEVIER
DOI: 10.1016/j.optcom.2012.01.021
Keywords
Reversible data hiding; Steganography; Steganalysis; Template matching; Support vector machine
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Funding
- National Science Council of Republic of China [NSC 100-2221-E-182-055-, NSC 100-2221-E-539-004-]
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This paper presents an innovative active steganalysis algorithm for reversible data hiding schemes based on histogram shifting. These schemes use histogram shifting to embed secret data in cover-images. However, some histogram patterns originating during the embedding procedure may be recognized readily by a steganalyst. The proposed algorithm analyzes the characteristics of histogram changing during the data embedding procedure, and then models these features into reference templates by using a 1 x 4 sliding window. A support vector machine is trained as the classifier for discriminating between cover-images and stego-images by adopting the template matching techniques. The hidden messages located at the histogram peak of the cover-image were further estimated by measuring the feature of adjacent histogram differences. Experimental results indicate that the proposed active steganalysis algorithm can effectively detect stego-images at low bit rates and estimate the hidden messages locations. (C) 2012 Elsevier B.V. All rights reserved.
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