Title :
Optimal detection of outguess using an accurate model of DCT coefficients
Author :
Thai, Thanh Hai ; COGRANNE, Remi ; Retraint, Florent
Author_Institution :
ICD - ROSAS - LM2S, Troyes Univ. of Technol., Troyes, France
Abstract :
This paper presents an optimal statistical test for the detection of OutGuess steganographic algorithm using an accurate statistical model of Discrete Cosine Transform (DCT) coefficients. First, this paper presents the proposed novel statistical model of quantized DCT coefficients. Then, this model is applied to design an optimal statistical test for the detection of OutGuess data hiding scheme. To this end, the detection of hidden data is cast within the framework of hypothesis testing theory. The optimal Likelihood Ratio Test (LRT) is first presented. Then, for a practical application, a Generalized LRT is proposed using Maximum Likelihood Estimations of unknown parameters. Large scale numerical results show that the proposed approach allows the reliable and efficient detection of OutGuess.
Keywords :
data compression; discrete cosine transforms; image coding; maximum likelihood estimation; quantisation (signal); statistical testing; steganography; JPEG compression standard; OutGuess data hiding scheme detection; discrete cosine transform coefficients; generalized LRT; hypothesis testing theory; maximum likelihood estimations; optimal OutGuess steganographic algorithm detection; optimal likelihood ratio test; optimal statistical test design; quantized DCT coefficients; unknown parameters; Discrete cosine transforms; Estimation; Laplace equations; Mathematical model; Numerical models; Payloads; Transform coding; DCT modelling; Discrete Cosine Transform; Hypothesis Testing; OutGuess; Steganalysis;
Conference_Titel :
Information Forensics and Security (WIFS), 2014 IEEE International Workshop on
DOI :
10.1109/WIFS.2014.7084324
