Video steganalysis based on aliasing detection

A novel steganalysis approach is proposed against additive video steganography. Under the assumption of independence between the cover video and hidden data, the probability mass function of the frame difference signal of stego-video generally reveals the aliasing effect caused by embedding data. The proposed method successfully detects the hidden data in video with different compression bitrates by detecting the aliasing degree.