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Conference papers
Steganalysis of Jsteg algorithm based on a novel statistical model of quantized DCT coefficients
Abstract : The goal of the paper is to propose an optimal statistical test for the steganalysis of Jsteg algorithm. The test is based on a state-of-the-art statistical model of quantized Discrete Cosine Transform (DCT) coefficients that allows us to reliably detect any small change in a cover image due to hidden information. By formulating the hidden information detection as a hypothesis testing problem, the paper designs the most powerful Likelihood Ratio Test (LRT) assuming that all model parameters are perfectly known. The statistical performance of the LRT is analytically provided. Numerical results and comparison with other detectors highlight the relevance of the proposed approach.
https://hal-utt.archives-ouvertes.fr/hal-02362388
Contributor : Jean-Baptiste Vu Van Connect in order to contact the contributor
Submitted on : Wednesday, November 13, 2019 - 7:06:35 PM
Last modification on : Friday, August 27, 2021 - 3:14:06 PM
Contributor : Jean-Baptiste Vu Van Connect in order to contact the contributor
Submitted on : Wednesday, November 13, 2019 - 7:06:35 PM
Last modification on : Friday, August 27, 2021 - 3:14:06 PM