Disappearing Cryptography: Information Hiding: Steganography and Watermarking (2nd Edition)
Disappearing Cryptography: Information Hiding: Steganography and Watermarking (2nd Edition)
Detecting LSB Steganography in Color and Gray-Scale Images
IEEE MultiMedia
Attacks on Steganographic Systems
IH '99 Proceedings of the Third International Workshop on Information Hiding
Image Complexity and Feature Extraction for Steganalysis of LSB Matching Steganography
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Reliable detection of LSB steganography in color and grayscale images
MM&Sec '01 Proceedings of the 2001 workshop on Multimedia and security: new challenges
An Empirical Analysis of RS Steganalysis
ICIMP '08 Proceedings of the 2008 The Third International Conference on Internet Monitoring and Protection
Steganalysis of LSB Matching Based on Co-occurrence Matrix and Removing Most Significant Bit Planes
IIH-MSP '08 Proceedings of the 2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing
ICVGIP '08 Proceedings of the 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing
Detection of LSB steganography via sample pair analysis
IEEE Transactions on Signal Processing
| Hi-index | 0.00 |
This paper proposes an improved method for attacking the LSB (Least Significant Bit) matching steganography. In LSB matching steganography the least two or more significant bit-planes of the cover image would be changed during the embedding and thus the pairs of values do not exist in stego image. In the proposed method, an image is obtained by combining the least three significant bit-planes and is divided into 3x3 overlapped subimages. The subimages are grouped into eight types, i. e. T1, T2, T3, T4, T5, T6, T7 and T8 according to the count of gray levels. A message is embedded by LSB matching. The alteration rate of the number of elements belonging to T1 is computed. It is found that normally the alteration rate is higher in cover image than in the corresponding stego image. This is used as the discrimination rule in the method. The literature consists of the method which focuses on the combination of least two significant bit-planes. Experimental results demonstrate that the proposed method gives better results than those obtained by combining the least two significant bit-planes. It is an efficient method to detect the LSB matching stegonagraphy in gray scale images.