Paper
22 June 2004 Locally most-powerful detector for secret key estimation in spread spectrum image steganography
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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.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shalin P. Trivedi and Rajarathnam Chandramouli "Locally most-powerful detector for secret key estimation in spread spectrum image steganography", Proc. SPIE 5306, Security, Steganography, and Watermarking of Multimedia Contents VI, (22 June 2004); https://doi.org/10.1117/12.521394
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Cited by 4 scholarly publications.
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KEYWORDS
Steganalysis

Sensors

Cameras

Signal to noise ratio

Steganography

Detection and tracking algorithms

Signal detection

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