Detecting the fingerprint of video data hiding tool OpenPuff

Detecting the fingerprint of video data hiding tool OpenPuff

Blog Article

This paper proposes an effective fingerprint detection method against the video steganography and watermarking of OpenPuff, one of the leading tools for its capability to securely hide information.With the aim of attacking the video in SWF, MP4 and 3GP containers, we first elaborate on the mechanism of OpenPuff and analyze every potential and suspicious field for different file formats.By comparison of JOINT OPTIMIZER the binary streams between the original and the marked videos, the suspicious fields are located and used for screening video.

For suspect video, the padding bytes in those specific fields are extracted as the signature that determines whether the cover object is innocent or guilty.Experimental Tea Tree Oil Products works have been done to demonstrate the effectiveness of our proposed method where hundreds of videos in pairs are tested.