Abstract
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 × 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.
Original language | English |
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Pages (from-to) | 2510-2518 |
Number of pages | 9 |
Journal | Optics Communications |
Volume | 285 |
Issue number | 10-11 |
DOIs | |
State | Published - 15 05 2012 |
Keywords
- Reversible data hiding
- Steganalysis
- Steganography
- Support vector machine
- Template matching