PRNU Based Source Camera Identification for Webcam Videos

TL;DR

This paper explores using PRNU sensor fingerprints to identify the source webcam in videos, adapting image forensics techniques to the video domain with three methods evaluated.

Contribution

It introduces and assesses three methods for source camera identification in webcam videos using PRNU patterns, expanding the application of image forensics to video.

Findings

PRNU can be effectively used for webcam video source identification

Three methods for SCI in videos are implemented and evaluated

The approach demonstrates potential for forensic applications in video authentication

Abstract

This communication is about an application of image forensics where we use camera sensor fingerprints to identify source camera (SCI: Source Camera Identification) in webcam videos. Sensor or camera fingerprints are based on computing the intrinsic noise that is always present in this kind of sensors due to manufacturing imperfections. This is an unavoidable characteristic that links each sensor with its noise pattern. PRNU (Photo Response Non-Uniformity) has become the default technique to compute a camera fingerprint. There are many applications nowadays dealing with PRNU patterns for camera identification using still images. In this work we focus on video, more specifically on webcam video, because of the great importance of webcam video nowadays. Three possible methods for SCI are implemented and assessed in this work.