| Paper: | MA-P5.5 |
| Session: | Security I: Authentication and Steganography |
| Time: | Monday, September 17, 09:50 - 12:30 |
| Presentation: |
Poster
|
| Title: |
ATTACK LSB MATCHING STEGANOGRAPHY BY COUNTING ALTERATION RATE OF THE NUMBER OF NEIGHBOURHOOD GRAY LEVELS |
| Authors: |
Fangjun Huang; Sun Yat-Sen University | | |
| | Bin Li; Sun Yat-Sen University | | |
| | Jiwu Huang; Sun Yat-Sen University | | |
| Abstract: |
In this paper, we propose a new method for attacking the LSB (least significant bit) matching based steganography. Different from the LSB substitution, the least two or more significant bit-planes of the cover image would be changed during the embedding in LSB matching steganography and thus the pairs of values do not exist in stego image. In our proposed method, we get an image by combining the least two significant bit-planes and divide it into 3×3 overlapped subimages. The subimages are grouped into four types, i.e. T1,T2,T3 and T4 according to the count of gray levels. Via embedding a random sequence by LSB matching and then computing the alteration rate of the number of elements in T1, we find that normally the alteration rate is higher in cover image than in the corresponding stego image. This new finding is used as the discrimination rule in our method. Experimental results demonstrate that the proposed algorithm is efficient to detect the LSB matching stegonagraphy on uncompressed gray scale images. |
