Title
Locally most-powerful detector for secret key estimation in spread spectrum image steganography
Abstract
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. Trivedi120.75
Rajarathnam Chandramouli223834.38