Name
Abstract | ||
|---|---|---|
In covert communication, Information hiding is rapidly gaining momentum. There are many sophisticated techniques being developed in steganography. There is a need of universal method to detect hidden image. We have proposed a Universal method to detect hidden message using Histogram, Discrete Fourier Transform and SVM (UDHDS). When compared to cover image stego image has irregular statistical characteristics. one class SVM is trained by these statistical features which are generated Using Histogram and DFT to discriminate the cover and stego image. The number of statistical features is less in UDHDS Algorithm when compared to the existing algorithm and found to be more efficient. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1145/1517303.1517331 | Bangalore Compute Conf. |
Keywords | Field | DocType |
udhds algorithm,discrete fourier transform,hidden message,image stego image,hidden image,irregular statistical characteristic,class svm,statistical feature,stego image,universal method,svm,steganalysis,information hiding,dft,histogram | Histogram,Steganography,Pattern recognition,Computer science,Information hiding,Support vector machine,Histogram matching,Artificial intelligence,Steganalysis,Discrete Fourier transform,Covert communication | Conference |
Citations | PageRank | References |
1 | 0.36 | 8 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| T. H. Manjula Devi | 1 | 1 | 0.36 |
| Pooja P. Shenoy | 2 | 1 | 0.36 |
| Swathi Saigali | 3 | 1 | 0.36 |
| Harsha Mathew | 4 | 1 | 0.36 |
| K. B. Raja | 5 | 34 | 9.60 |
| K. R. Venugopal | 6 | 267 | 48.80 |
| L M Patnaik | 7 | 1617 | 198.06 |