LLRT Based Detection of LSB Hiding

K. Sullivan, O. Dabeer, U. Madhow, B. S. Manjunath, and S. Chandrasekaran
Dept. of Electrical and Computer Engineering
University of California at Santa Barbara,
Santa Barbara, CA 93106


In this paper we consider a hypothesis testing approach for detection of hiding in the least significant bit (LSB). This steganalysis problem is a composite hypothesis test-ing problem. We state a regularity condition on the image histogram, which reduces this problem to a simple hypoth-esis testing problem. We then develop a number of simple practical tests based on the estimation of the optimal log likelihood ratio statistic. We show that our tests signif-icantly outperform Stegdetect, a popular hypothesis test available in the literature. Our approach also leads to good estimates of the hiding rate.
[PDF] [BibTex]
K. Sullivan, O. Dabeer, U. Madow, B. S. Manujunath and S. Chandrasekaran,
IEEE International Conference on Image Processing (ICIP), vol. 1, pp. 497-500, Barcelona, Spain, Sep. 2003.
Node ID: 356 , DB ID: 154 , VRLID: 120 , Lab: VRL , Target: Conference
Subject: [Digital Watermarking and Data Hiding] « Look up more