Name
Abstract | ||
|---|---|---|
This paper considers the problem of blindly extracting data embedded over a wide band in a spectrum (transform) domain of a digital medium (image, audio, video). We first develop a multi-signature iterative generalized least-squares (M-IGLS) core procedure to seek unknown data hidden in hosts via multi-signature direct-sequence spread-spectrum embedding. Neither the original host nor the embedding signatures are assumed available. Then, cross-correlation enhanced M-IGLS (CC-M-IGLS), a procedure described herein in detail that is based on statistical analysis of repeated independent M-IGLS processing of the host, is seen to offer most effective hidden message recovery. Experimental studies on images show that the proposed CC-M-IGLS algorithm can achieve recovery probability of error close to what may be attained with known embedding signatures and host autocorrelation matrix. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/ICC.2012.6364055 | ICC |
Keywords | Field | DocType |
steganography,authentication,hidden message recovery,digital media,information hiding,multisignature direct-sequence spread-spectrum embedding,embedding signatures,blind detection,statistical analysis,error recovery probability,matrix algebra,steganalysis,spread spectrum communication,repeated independent m-igls processing,least squares approximations,host autocorrelation matrix,cross-correlation enhanced m-igls,m-igls core procedure,covert communications,watermarking,spread-spectrum embedding,digital signatures,data hiding,spread-spectrum hidden data extraction,multisignature iterative generalized least-square core procedure,error statistics,cc-m-igls algorithm,iterative methods,data mining,spread spectrum,cross correlation,autocorrelation,bit error rate,electronic counter countermeasures,broadband,correlation,least squares method,algorithm design and analysis,vectors,reliability | Digital watermarking,Computer science,Digital signature,Real-time computing,Artificial intelligence,Spread spectrum,Steganography,Embedding,Pattern recognition,Iterative method,Autocorrelation matrix,Speech recognition,Steganalysis | Conference |
ISSN | ISBN | Citations |
1550-3607 E-ISBN : 978-1-4577-2051-2 | 978-1-4577-2051-2 | 5 |
PageRank | References | Authors |
0.43 | 9 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ming Li | 1 | 388 | 37.81 |
| Michel Kulhandjian | 2 | 25 | 4.16 |
| Dimitrios A. Pados | 3 | 228 | 18.75 |
| Stella N. Batalama | 4 | 465 | 37.92 |
| Michael J. Medley | 5 | 337 | 26.06 |
| John D. Matyjas | 6 | 554 | 43.69 |