Name
Title | ||
|---|---|---|
Image complexity and feature mining for steganalysis of least significant bit matching steganography |
Abstract | ||
|---|---|---|
The information-hiding ratio is a well-known metric for evaluating steganalysis performance. In this paper, we introduce a new metric of image complexity to enhance the evaluation of steganalysis performance. In addition, we also present a scheme of steganalysis of least significant bit (LSB) matching steganography, based on feature mining and pattern recognition techniques. Compared to other well-known methods of steganalysis of LSB matching steganography, our method performs the best. Results also indicate that the significance of features and the detection performance depend not only on the information-hiding ratio, but also on the image complexity. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1016/j.ins.2007.08.007 | Inf. Sci. |
Keywords | Field | DocType |
steganalysis performance,well-known method,pattern recognition technique,information-hiding ratio,feature mining,image complexity,significant bit,lsb matching steganography,detection performance,pattern recognition,steganalysis,least significant bit,information hiding,classification,correlation | Steganography,Steganography tools,Pattern recognition,Cryptography,Image complexity,Artificial intelligence,Steganalysis,Pattern matching,Mathematics,Least significant bit,Computational complexity theory | Journal |
Volume | Issue | ISSN |
178 | 1 | 0020-0255 |
Citations | PageRank | References |
45 | 1.91 | 31 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qingzhong Liu | 1 | 588 | 44.77 |
| Andrew H. Sung | 2 | 1034 | 84.10 |
| Bernardete Ribeiro | 3 | 758 | 82.07 |
| Mingzhen Wei | 4 | 98 | 5.72 |
| Zhongxue Chen | 5 | 244 | 15.77 |
| Jianyun Xu | 6 | 187 | 11.13 |