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Detection of JSteg Algorithm Using Hypothesis Testing Theory and a Statistical Model with Nuisance Parameters

by Tong Qiao , Cathel Zitzmann , Rémi Cogranne , Florent Retraint
"... ABSTRACT This paper investigates the statistical detection of data hidden within DCT coefficients of JPEG images using a Laplacian distribution model. The main contributions is twofold. First, this paper proposes to model the DCT coefficients using a Laplacian distribution but challenges the usual ..."
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on hypothesis testing theory, which aims at detecting data hidden within DCT coefficient with the JSteg algorithm. The proposed optimal detector carefully takes into account the distribution parameters as nuisance parameters. Numerical results on simulated data as well as on numerical images database show

Weighted stego-image steganalysis for JPEG covers

by Rainer Böhme - INFORMATION HIDING. LNCS 5284 , 2008
"... This paper contains two new results for the quantitative detector of LSB replacement steganography based on a weighted stegoimage (WS). First, for spatial domain steganalysis, a variant of the WS method is known to be highly accurate only when cover images have never been subject to lossy compress ..."
Abstract - Cited by 15 (2 self) - Add to MetaCart
detect LSB replacement steganography in the transformed domain, and derive a reduced-form estimator for JSteg steganography which has equal or slightly better performance than the currently best JSteg detectors.
Results 1 - 2 of 2