This paper introduces a new blind steganalysis method. The required image features are
extracted based on generalized autoregressive conditional heteroskedasticity (GARCH)
model and higher-order statistics of the images. These features are exploited during the
classification stage to detect a variety of steganographic methods in both spatial and
transform domains. The GARCH features are extracted from non-approximate wavelet
coefficients, where the heavy-tailed distribution of the coefficients makes the GARCH model …