NDLI: Provably Secure Steganography: Achieving Zero K-L Divergence using Statistical Restoration

Content Provider	IEEE Xplore Digital Library
Author	Solanki, K. Sullivan, K. Madhow, U. Manjunath, B.S. Chandrasekaran, S.
Copyright Year	2006
Description	Author affiliation: Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA (Solanki, K.; Sullivan, K.; Madhow, U.; Manjunath, B.S.; Chandrasekaran, S.)
Abstract	In this paper, we present a framework for the design of steganographic schemes that can provide provable security by achieving zero Kullback-Leibler divergence between the cover and the stego signal distributions, while hiding at high rates. The approach is to reserve a number of host symbols for statistical restoration: host statistics perturbed by data embedding are restored by suitably modifying the symbols from the reserved set. A dynamic embedding approach is proposed, which avoids hiding in low probability regions of the host distribution. The framework is applied to design practical schemes for image steganography, which are evaluated using supervised learning on a set of about 1000 natural images. For the presented JPEG steganography scheme, it is seen that the detector is indeed reduced to random guessing.
Starting Page	125
Ending Page	128
File Size	5094902
Page Count	4
File Format	PDF
ISBN	1424404800
ISSN	15224880
DOI	10.1109/ICIP.2006.312388
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Steganography Image restoration Signal restoration Higher order statistics Data security Statistical distributions Detectors Discrete cosine transforms Probability Supervised learning steganography data hiding steganalysis
Content Type	Text
Resource Type	Article

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