PRNU Anonymous Algorithm Used for Privacy Protection in Biometric Authentication Systems-Reference-Cited by-同舟云学术

PRNU Anonymous Algorithm Used for Privacy Protection in Biometric Authentication Systems

Published:2023-02-10 Issue:1 Volume:19 Page:1-19
ISSN:1552-6283
Container-title:International Journal on Semantic Web and Information Systems
language:ng
Short-container-title:

Author:

Li Jian¹,Zhang Xiaobo¹,Ma Bin¹,Yang Meihong²,Wang Chunpeng¹,Liu Yang¹,Cui Xinan³,Yang Xiaotong⁴

Affiliation:

1. Qilu University of Technology (Shandong Academy of Sciences), China

2. Shandong Computer Science Center, China

3. ZhongFu Information Inc., China

4. Sungkyunkwan University, China

Abstract

The photo response non-uniformity (PRNU) is used to connect an image to its source sensor. In this paper, researchers propose a PRNU anonymity method based on image segmentation to cut the relationship between the image and its source camera. According to the distribution rule of PRNU in the high and low frequency band of the image, the high and low frequency information of the part is also processed differently, which ensures the quality of the output image to a large extent. Experiments on the datasets show that the proposed method can preserve the biometric characteristics of the device while maintaining the anonymity of the device. Comparing with prior art, peak signal to noise ratio (PSNR) and cosine similarity are improved by 1.9 dB and 0.02 points, respectively.

Publisher

IGI Global

Subject

Computer Networks and Communications,Information Systems

Reference29 articles.

1. Spoofing PRNU Patterns of Iris Sensors while Preserving Iris Recognition

2. Smartphone Camera De-identification while Preserving Biometric Utility

3. Seam-carving based anonymization against image & video source attribution

4. Counter-Forensics: Attacking Image Forensics

5. Fooling PRNU-Based Detectors Through Convolutional Neural Networks