DETECTING THE FINGERPRINT OF VIDEO DATA HIDING TOOL OPENPUFF

Detecting the fingerprint of video data hiding tool OpenPuff

Detecting the fingerprint of video data hiding tool OpenPuff

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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 lovesense 3 suspicious field for different file formats.By comparison of the binary streams between the iphone 13 price ohio 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 works have been done to demonstrate the effectiveness of our proposed method where hundreds of videos in pairs are tested.

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