Abstract
As the opposite of steganograph, steganalysis aims at detecting the existence of hidden information. In this paper, a new video steganalysis scheme is proposed against additive video steganography. Unlike traditional video steganalysis techniques, bispectrum analysis approach is introduced to detect the artifacts in the probability mass function (PMF) of the difference signals of adjacent frames. We utilize the difference signals of adjacent frames which have relatively high time correlation in suspected video as a prediction model for steganlysis. The proposed method not only successfully detects the hidden data in stego-video at different compression bit rates, but also estimates the embedding strength in the steganographic algorithm. Experimental results demonstrate the effectiveness of this approach.
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