Name
Abstract | ||
|---|---|---|
A large number of commercial steganographic programs use the Least Significant Bit embedding (LSB) as the method of choice for message hiding in 24-bit, 8-bit color images, and grayscale images. It is commonly believed that changes to the LSBs of colors cannot be detected due to noise that is always present in digital images. In this paper, we describe a new very accurate and reliable method that can detect LSB embedding in randomly scattered pixels in both 24-bit color images and 8-bit grayscale or color images. It is based on our previous work on lossless data embedding [1]. By inspecting the differences in the number of regular and singular groups for the LSB and the "shifted LSB plane", we can reliably detect messages as short as 0.03bpp. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1145/1232454.1232466 | MM&Sec |
Keywords | Field | DocType |
steganography,least significant bit,color image,col,steganalysis | Steganography,Computer vision,Embedding,Digital image,Pixel,Artificial intelligence,Steganalysis,Mathematics,Grayscale,Least significant bit,Lossless compression | Conference |
ISBN | Citations | PageRank |
1-58113-393-6 | 208 | 25.92 |
References | Authors | |
7 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jessica Fridrich | 1 | 8014 | 592.05 |
| Miroslav Goljan | 2 | 2430 | 221.88 |
| Rui Du | 3 | 208 | 25.92 |