PRNU-Based Camera Attribution From Multiple Seam-Carved Images | IEEE Journals & Magazine | IEEE Xplore

PRNU-Based Camera Attribution From Multiple Seam-Carved Images


Abstract:

Photo response non-uniformity (PRNU) noise-based source attribution is a well-known technique to verify the camera of an image or video. Researchers have proposed various...Show More

Abstract:

Photo response non-uniformity (PRNU) noise-based source attribution is a well-known technique to verify the camera of an image or video. Researchers have proposed various countermeasures to prevent PRNU-based source camera attribution. Forced seam-carving is one such recently proposed counter forensics technique. This technique can disable PRNUbased source camera attribution by forcefully removing seams such that the size of most uncarved image blocks is less than 50 × 50 pixels. In this paper, we show that given multiple seamcarved images from the same camera, source attribution can still be possible even if the size of uncarved blocks in the image is less than the recommended size of 50 × 50 pixels. Theoretical analysis and experiments with multiple cameras demonstrate that the effectiveness of our scheme depends on the number of seams carved from an image and the randomness of the seam positions.
Published in: IEEE Transactions on Information Forensics and Security ( Volume: 12, Issue: 12, December 2017)
Page(s): 3065 - 3080
Date of Publication: 09 August 2017

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