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HUGO [1] and MOD [2] are the most secure adaptive embedding algorithms of 2011. These algorithms strive to hide a secret message, while minimizing an ad hoc embedding impact. They use a detectability map, which, if properly defined, is correlated to the security. In this paper, we present a new adaptive embedding scheme: Adaptive Steganography by Oracle (ASO). It is based on an oracle used to calculate...
In this paper we extend the state-of-the-art steganalysis tool developed by Kodovský and Fridrich: the Kodovský's ensemble classifiers. We propose to boost the weak classifiers composing the Kodovsk ý classifier. For this, we minimize the probability of error thanks to a regression approach of low complexity. We also propose a post-selection of features, achieved after the learning step of all the...
ASO [1] is an adaptive embedding scheme that has proved its efficiency compared to HUGO [2] algorithm. It is based on the use of a detectability map that is correlated to the security of the embedding process. The detectability map is calculated using the Kodovský's ensemble classifiers[3] as an oracle, which preserves the distribution of the cover image and of the sender's database. In this article,...
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