Statistical Detection of LSB Matching Using Hypothesis Testing Theory
Abstract
This paper investigates the detection of information hidden by the Least Significant Bit (LSB) matching scheme. In a theoretical context of known image media parameters, two important results are presented. First, the use of hypothesis testing theory allows us to design the Most Powerful (MP) test. Second, a study of the MP test gives us the opportunity to analytically calculate its statistical performance in order to warrant a given probability of false-alarm. In practice when detecting LSB matching, the unknown image parameters have to be estimated. Based on the local estimator used in the Weighted Stego-image (WS) detector, a practical test is presented. A numerical comparison with state-of-the-art detectors shows the good performance of the proposed tests and highlights the relevance of the proposed methodology.
Cite
@article{arxiv.1207.2674,
title = {Statistical Detection of LSB Matching Using Hypothesis Testing Theory},
author = {Rémi Cogranne and Cathel Zitzmann and Florent Retraint and Igor Nikiforov and Lionel Fillatre and Philippe Cornu},
journal= {arXiv preprint arXiv:1207.2674},
year = {2012}
}