Title | ||
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Locally most-powerful detector for secret key estimation in spread spectrum image steganography |
Abstract | ||
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We define sequential steganography as those class of embedding algorithms that hide messages in consecutive (time, spatial or frequency domain) features of a host signal. This paper presents a steganalysis method that estimates the secret key used in sequential steganography. A theory is developed for detecting abrupt jumps in the statistics of the stego signal during steganalysis. Stationary and non-stationary host signals with low, medium and high SNR embedding are considered. A locally most powerful steganalysis detector for the low SNR case is also derived. Several techniques to make the steganalysis algorithm work for non-stationary digital image steganalysis are also presented. Extensive experimental results are shown to illustrate the strengths and weaknesses of the proposed steganalysis algorithm. |
Year | DOI | Venue |
---|---|---|
2004 | 10.1117/12.521394 | PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) |
Keywords | Field | DocType |
s teganalysis,sequential steganography,image data hiding | Frequency domain,Steganography,Steganography tools,Embedding,Algorithm,Digital image,Steganalysis,Detector,Mathematics,Spread spectrum | Conference |
Volume | ISSN | Citations |
5306 | 0277-786X | 1 |
PageRank | References | Authors |
0.38 | 1 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Shalin P. Trivedi | 1 | 2 | 0.75 |
Rajarathnam Chandramouli | 2 | 238 | 34.38 |