Title :
LLRT based detection of LSB hiding
Author :
Sullivan, K. ; Dabeer, O. ; Madhow, U. ; Manjunath, B.S. ; Chandrasekaran, S.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
Abstract :
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 testing problem. We state a regularity condition on the image histogram, which reduces this problem to a simple hypothesis 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 significantly outperform Stegdetect, a popular hypothesis test available in the literature. Our approach also leads to good estimates of the hiding rate.
Keywords :
cryptography; data encapsulation; image coding; maximum likelihood estimation; LSB hiding; hiding rate; hypothesis testing approach; image histogram; multimedia; optimal log likelihood ratio statistic; steganalysis problem; Additive noise; Data encapsulation; Histograms; Probability; Statistical analysis; Steganography; Supervised learning; System testing;
Conference_Titel :
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
Print_ISBN :
0-7803-7750-8
DOI :
10.1109/ICIP.2003.1247007