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Proceedings Paper

Locally most-powerful detector for secret key estimation in spread spectrum image steganography
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Paper 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.

Paper Details

Date Published: 22 June 2004
PDF: 12 pages
Proc. SPIE 5306, Security, Steganography, and Watermarking of Multimedia Contents VI, (22 June 2004); doi: 10.1117/12.521394
Show Author Affiliations
Shalin P. Trivedi, Stevens Institute of Technology (United States)
Rajarathnam Chandramouli, Stevens Institute of Technology (United States)


Published in SPIE Proceedings Vol. 5306:
Security, Steganography, and Watermarking of Multimedia Contents VI
Edward J. Delp; Ping W. Wong, Editor(s)

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