DocumentCode
398580
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
Volume
1
fYear
2003
fDate
14-17 Sept. 2003
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
ISSN
1522-4880
Print_ISBN
0-7803-7750-8
Type
conf
DOI
10.1109/ICIP.2003.1247007
Filename
1247007
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