Martín-Rodríguez, F.; Isasi-de-Vicente, F.; Fernández-Barciela, M. A Stress Test for Robustness of Photo Response Nonuniformity (Camera Sensor Fingerprint) Identification on Smartphones. Sensors2023, 23, 3462.
Martín-Rodríguez, F.; Isasi-de-Vicente, F.; Fernández-Barciela, M. A Stress Test for Robustness of Photo Response Nonuniformity (Camera Sensor Fingerprint) Identification on Smartphones. Sensors 2023, 23, 3462.
Martín-Rodríguez, F.; Isasi-de-Vicente, F.; Fernández-Barciela, M. A Stress Test for Robustness of Photo Response Nonuniformity (Camera Sensor Fingerprint) Identification on Smartphones. Sensors2023, 23, 3462.
Martín-Rodríguez, F.; Isasi-de-Vicente, F.; Fernández-Barciela, M. A Stress Test for Robustness of Photo Response Nonuniformity (Camera Sensor Fingerprint) Identification on Smartphones. Sensors 2023, 23, 3462.
Abstract
In the field of forensic imaging, it is important to be able to extract a “camera fingerprint” from one or a small set of images known to have been taken by the same camera (image sensor). Ideally, that fingerprint would be used to identify an individual source camera. Camera fingerprint is based on certain kind of random noise present in all image sensors that is due to manufacturing imperfections and thus unique and impossible to avoid. PRNU (Photo-Response Non-Uniformity) has become the most widely used method for SCI (Source Camera Identification). In this paper, we design a set of “attacks” to a PRNU based SCI system and we measure the success of each method. We understand an attack method as any processing that alters minimally image quality and that is designed to fool PRNU detectors (or, generalizing, any camera fingerprint detector). The PRNU based SCI system was taken from an outstanding reference that is publicly available.
Keywords
image forensics; camera identification; fingerprint; forgery; PRNU
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
